<rss version="2.0">
    <channel>
        <title>ScholarVox Settat : Nouveautés
         : Sciences, informatique et techniques</title>
        <description />
        <link>http://uh1.scholarvox.com</link>

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            <title><![CDATA[ The Architecture Handbook for Milvus Vector Database : Design and implement high-performance vector search systems with Milvus ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Cai, Yudong<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9781835881712.jpg" /></a></p>
            <p><p><b>Co-authored by core contributors of Milvus, this book guide explores the architecture of the Milvus vector databases for GenAI solutions
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Understand the core architecture and vector indexing engine that makes Milvus ideal for AI-driven search</li><li>Learn scalable deployment and performance optimization techniques</li><li>Test, apply, and integrate Milvus into AI and LLM pipelines using LangChain</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>The rapid adoption of LLMs demands efficient storage and lightning-fast retrieval of unstructured data. Designed as a vector database, Milvus has earned widespread recognition in the community and support from tech giants like Apple and NVIDIA. Yet, many developers only scratch the surface of what Milvus is truly capable of. Written by the contributors of the Milvus project, this handbook gives you an insider’s perspective on its design and how it handles large-scale, high-dimensional vector data.
Starting with the basics, you’ll learn about everything from service deployment and SDK usage to Milvus’ layered architecture and how its components interact. You’ll learn how the indexing, replication, compaction, and garbage collection systems work and how to apply them to real scenarios. Through practical demos and configuration exercises, you’ll learn how to monitor, scale, and secure Milvus in production and then advance to performance evaluation and scalability testing using tools like VectorDBBench. You'll also explore Milvus' integration with LangChain for use cases such as vector search and RAG-based chatbots.
By the end of this book, you’ll be able to analyze Milvus internals, fine-tune for performance, ensure system stability, and integrate it into next-generation AI solutions.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Deploy Milvus using Docker, Kubernetes, and Helm</li><li>Configure Milvus and monitor system health with Prometheus, Grafana, and Loki</li><li>Understand core components like Knowhere, indexes, time sync, compaction, and garbage collection</li><li>Design and optimize schema, queries, and data modification flows</li><li>Benchmark performance and simulate real-world failure recovery</li><li>Scale Milvus clusters to support large datasets and high-concurrency traffic</li><li>Implement different multi-tenant strategies in Milvus</li><li>Build AI applications using Milvus with LangChain</li></ul><h4>Who this book is for</h4><p>This book is for database practitioners looking to get started with Milvus and build their expertise in vector data and vector search. It’s particularly suited for data analysts, data scientists, Milvus developers, system architects, tech enthusiasts, and researchers in vector database technologies.
To get the most out of this book, you should have a foundational understanding of Go, Python, or C++, as well as a basic knowledge of database systems. Familiarity with Docker and Kubernetes is recommended.</p></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ AI for Seniors in easy steps ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Vandom, Nick<br/> 
            Editeur : In Easy Steps<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9781787910546.jpg" /></a></p>
            <p><p>&lt;p&gt;Created by people, for people!&lt;/p&gt;&lt;p&gt;&lt;strong&gt;AI for Seniors in easy steps&lt;/strong&gt; is your friendly, jargon-free guide to understanding Artificial Intelligence (AI) and using it in everyday life. This primer explains what AI is, how it works, the drawbacks, and why it matters &ndash; all in easy steps. Discover how AI can help you:&lt;/p&gt;&lt;li&gt;Use chatbots such as ChatGPT for writing, asking questions, and for everyday tasks.&lt;/li&gt;&lt;li&gt;Manage your home with smart devices to save time and for easy organization. &lt;/li&gt;&lt;li&gt;Perfect your photos and videos easily with AI apps. &lt;/li&gt;&lt;li&gt;Explore apps for music and entertainment. &lt;/li&gt;&lt;li&gt;Take control of your finances and wellbeing with smart apps. &lt;/li&gt;&lt;p&gt;Simple, practical, and empowering &ndash; giving you full confidence to stay ahead and make AI work for you!&lt;/p&gt;</p></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Cybersecurity Strategy for the AI-Driven Era : Proven strategies and data-driven tactics to disrupt attacks and strengthen enterprise defenses ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Rains, Tim<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9781806028566.jpg" /></a></p>
            <p><p><b>Build, evaluate, and measure effective cybersecurity strategies using real-world threat intelligence and lessons from decades of enterprise defense experience.</b></p><h4>Key Features</h4><ul><li>Apply data-driven strategies to protect, detect, and respond to modern cyber threats</li><li>Evaluate Zero Trust, attack-centric, and resilience strategies for enterprise defense</li><li>Address ransomware, API abuse, cloud risks, and AI system security</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Designing a cybersecurity strategy that actually works is difficult when threats evolve faster than budgets, teams, and tools. This book helps security leaders cut through noise by focusing on how organizations are compromised, which strategies succeed, and how to measure outcomes.
Written by Tim Rains, a former Global Chief Security Advisor at Microsoft and senior security leader at AWS and Fortune-scale enterprises, this edition expands on the previous editions with major updates and new chapters. You will learn how threat intelligence, attack-centric security, intrusion kill chains, and MITRE ATT&CK can help defenders design stronger strategies.
New and expanded content covers ransomware, API security, “living off the land” attacks, resilience as a cybersecurity strategy, and the security of AI systems alongside practical guidance on using AI to improve security outcomes. This book takes a practical, evidence-based approach to cybersecurity strategy, helping you assess trade-offs, avoid costly missteps, and communicate clearly with executives and boards.
By the end of this book, you’ll be able to evaluate cybersecurity strategies more effectively, improve enterprise defenses, and communicate security priorities clearly to executives and boards.<h4>What you will learn</h4><ul><li>Identify common enterprise intrusion paths and reduce initial compromise</li><li>Distinguish credible threat intelligence from industry noise</li><li>Improve vulnerability management while reducing risk and cost</li><li>Assess malware, ransomware, and internet-based attack techniques</li><li>Secure APIs and reduce exposure from trusted enterprise tools</li><li>Evaluate Zero Trust and attack-centric security strategies</li><li>Apply cloud, resilience, and AI capabilities to improve security outcomes</li><li>How governments request data and how enterprises manage access, risk, and oversight</li></ul><h4>Who this book is for</h4><p>This book is for CISOs, CSOs, security leaders, architects, and cybersecurity professionals responsible for strategy, risk reduction, and compliance in enterprise environments. Readers should have a basic understanding of IT, networking, and core cybersecurity concepts.</p></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Microsoft Azure Fundamentals Certification and Beyond : A complete AZ-900 exam guide with online mock exams and hands-on activities ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Miles, Steve<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9781806702404.jpg" /></a></p>
            <p><p><b>Crack the updated AZ-900 (2026) and build real-world cloud skills with this new edition that goes beyond fundamentals through hands-on labs, Zero Trust security, and practical Azure use cases for modern careers.</b></p><h4>Key Features</h4><ul><li>Complete coverage of AZ-900 skills measured, aligned with the January 2026 exam update</li><li>Beginner-friendly explanations with real-world Azure scenarios and visual, analogy driven learning</li><li>Access to online mock exams, flashcards, exam timers, and hands-on labs for effective preparation</li></ul><h4>Book Description</h4>Microsoft Azure Fundamentals Certification and Beyond, Third Edition, is a complete and up-to-date guide aligned with the January 2026 AZ-900 skills-measured update. It combines clear explanations of Azure fundamentals with practical, real-world insights that help you understand not only what Azure services are, but how and why they are used.
This book covers cloud concepts, Azure architecture, core services, security, governance, cost management, deployment, and monitoring making it ideal for beginners and career switchers. Beyond exam preparation, it introduces real-world Azure scenarios and multi-cloud awareness, helping you see how Azure fits into modern IT environments.
To reinforce learning, the book includes access to Packt’s interactive online platform with mock exams, practice tests, flashcards, exam timers, and hands-on labs. By the end, you’ll have a strong foundation in Azure fundamentals, confidence in tackling the AZ-900 exam, and practical knowledge to take your first steps into cloud-focused roles.<h4>What you will learn</h4><ul><li>Understand core cloud computing concepts and delivery models</li><li>Explore Azure architecture, regions, availability, and resource management</li><li>Work with Azure compute, storage, and networking services</li><li>Apply identity, security, and Zero Trust principles in Azure</li><li>Manage costs, governance, and compliance effectively</li><li>Deploy and manage resources using Azure tools and templates</li><li>Monitor health, performance, and reliability in Azure</li><li>Prepare confidently for the AZ-900 certification exam</li></ul><h4>Who this book is for</h4><p>This book is for individuals preparing for the Microsoft Azure Fundamentals (AZ-900) certification exam and those looking to build a strong foundation in cloud computing with Azure. It is suitable for IT professionals, students, and business users seeking to understand Azure services, architecture, and management. No prior cloud experience is required, making it ideal for beginners, while those with some technical background can use it to reinforce their knowledge and prepare for certification.</p></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Intermittence des cours d'eau : Quelles pratiques de gestion ? Ed. 1 ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Datry, Thibault<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782759242795.jpg" /></a></p>
            <p><p>Plus de la moitié du réseau hydrographique mondial est concerné par la cessation de l’écoulement ou l’assèchement complet du lit des cours d’eau. En France hexagonale, les dernières modélisations sur le réseau hydrologique théorique suggèrent 20 à 40 % de linéaire intermittent.&nbsp;</p><p>Essentiels au bon fonctionnement des réseaux — recharge des nappes, transport des sédiments, connectivité entre habitats aquatiques —, les cours d’eau intermittents sont des sentinelles importantes des effets du changement climatique sur les écosystèmes aquatiques.&nbsp;</p><p>Toutefois, cibles de perceptions erronées et à la marge des sciences aquatiques et terrestres, ils ont jusque-là été marginalisés dans la recherche et par les politiques publiques, notamment dans la Directive cadre européenne sur l’eau (2000), lacunaire quant à la surveillance, l’évaluation et la gestion de ce type de cours d’eau. À cela s’ajoute le manque de méthodes adaptées, qui complique d’autant plus leur suivi scientifique et réglementaire. Face à leur extension dans un contexte de modification profonde du cycle de l’eau, leur prise en compte devient pourtant urgente.&nbsp;</p><p>Ce guide propose une synthèse des connaissances actuelles sur l’intermittence des cours d’eau ainsi que des outils concrets — du suivi hydrologique à la caractérisation de l’état écologique, en passant par les efforts de restauration — pour les intégrer aux stratégies et aux pratiques de gestion.&nbsp;</p><p>Il s’adresse aux professionnels, gestionnaires et décideurs du secteur hydrologique, mais aussi aux étudiants et chercheurs du domaine souhaitant mettre à jour leurs connaissances sur cette thématique longtemps restée inexplorée.&nbsp;</p></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Modern Computer Architecture and Organization : A systems-level guide to modern computer architectures, from hardware foundations to AI datacenters ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Ledin, Jim<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9781806028023.jpg" /></a></p>
            <p><p><b>Explore modern computer architecture from transistors and instruction sets to cloud-scale systems, LLM platforms, and secure computing, with major updates and new chapters reflecting today's cloud and AI-driven computing landscape</b></p><h4>Key Features</h4><ul><li>Understand modern processor and system architectures, spanning digital logic through x86/x64, ARM, and RISC-V</li><li>Explore new and expanded topics, including GPUs, LLM platforms, cloud-scale systems, and cybersecurity</li><li>Apply architectural principles to real-world systems, including confidential computing, blockchain, and autonomous platforms</li></ul><h4>Book Description</h4>Computer architecture now extends far beyond CPUs, forming the foundation of cloud platforms, AI systems, cybersecurity solutions, and emerging computing technologies. Modern Computer Architecture and Organization, Third Edition, provides a clear, end-to-end understanding of how today’s computer systems are built and why architectural decisions matter more than ever. 
You’ll begin with the fundamentals of digital logic, processor elements, memory systems, and the hardware–software interface, building a strong grounding that remains essential for every architect and systems engineer. Next, the book explores modern processor and memory architectures, performance-enhancing techniques, virtualization, and mainstream instruction sets, including x86, ARM, and an in-depth treatment of RISC-V. 
New and significantly expanded chapters extend this foundation into modern computing domains, including AI and large language model (LLM) computing platforms, GPUs, cloud-scale systems, confidential and security-focused architectures, blockchain and Bitcoin mining systems, self-driving vehicle architectures, and future directions such as quantum computing. This edition reflects today’s AI-driven, cloud-centric, security-aware computing landscape while remaining true to the classical principles that continue to underpin modern computer systems.<h4>What you will learn</h4><ul><li>Understand digital logic, processor fundamentals, and memory systems</li><li>Explore modern CPU, memory, and I/O architectures</li><li>Compare x86, ARM, and innovative RISC-V designs</li><li>Benefit from performance techniques like caching, pipelining, and parallelism</li><li>Understand virtualization and cloud-scale computing systems</li><li>Learn how AI and LLM computing platforms are architected</li><li>Examine confidential computing and security-focused architectures</li><li>Understand blockchain systems and bitcoin mining computer architectures</li><li>Explore quantum computing and future computing technologies</li></ul><h4>Who this book is for</h4><p>This book is designed for software developers, computer engineering and computer science students, system designers, and technical professionals seeking a clear understanding of modern computer architecture. It also suits general readers eager to understand how modern computing devices work. Readers working with PCs, mobile devices, cloud platforms, embedded systems, and AI workloads will gain practical insight to guide better design and performance decisions.</p></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Les Doctoriales francophones en sciences sociales de l'eau 2024 : de la construction des savoirs d'action Ed. 1 ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Destandau, François<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738014993.jpg" /></a></p>
            <p><p>Créées en 2014 à l’École nationale du génie de l’eau et de l’environnement de Strasbourg (ENGEES), les Doctoriales francophones en sciences sociales de l’eau (DSSE) sont devenues en dix ans un rendez-vous structurant de la communauté française des sciences sociales de l’eau, offrant aux doctorants un espace d’échanges pluridisciplinaires reconnu pour sa qualité scientifique et son esprit de bienveillance.&nbsp;</p><p>Ce numéro spécial est consacré à la 7e édition des Doctoriales, organisée à Bordeaux en décembre 2024 à l’occasion de leur dixième anniversaire. Il rassemble dix articles issus de communications présentées lors de l’événement et retravaillées dans le cadre d’une évaluation par les pairs fidèle à l’esprit des DSSE. Sans prétendre refléter l’ensemble des travaux présentés, ce recueil donne à voir la richesse des objets, des terrains et des approches qui traversent aujourd’hui les sciences sociales de l’eau.</p><p>Les contributions rassemblées interrogent, chacune à leur manière, la fabrique des « savoirs d’action » mobilisés pour comprendre, gouverner et transformer les socio-hydrosystèmes. Elles montrent combien l’eau ne saurait être réduite à une ressource naturelle aux propriétés évidentes, mais constitue un objet profondément social, façonné par des savoirs situés, des dispositifs techniques, des rapports de pouvoir et des imaginaires. En mettant en lumière ces processus de construction des connaissances et de l’action, ce numéro entend contribuer à une réflexion collective sur les manières de penser et d’agir face aux enjeux socio-hydriques contemporains.</p></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ La gestion des migrateurs amphihalins dans leur environnement en France Ed. 1 ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Roussel, Jean-Marc<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738015006.jpg" /></a></p>
            <p><p>Les espèces migratrices amphihalines — saumons, anguilles, esturgeons, lamproies et autres — sont des espèces qui parcourent alternativement les milieux marins et continentaux. Elles jouent aussi le rôle d’indicateurs clés des déséquilibres écologiques. Pourtant, ces espèces emblématiques, présentes sur tout le territoire français, subissent aujourd’hui de multiples pressions : fragmentation des habitats, changements climatiques et activités humaines. Leur déclin préoccupant a conduit à leur inscription sur les listes des conventions internationales et à l’adoption de réglementations strictes pour leur protection.</p><p>Face à ces enjeux, le pôle MIAME (Migrateurs Amphihalins dans leur Environnement) agit en étroite collaboration avec les acteurs de la biodiversité, de la préservation et de la restauration des milieux naturels. Son objectif ? Anticiper et répondre aux défis liés à la gestion de ces espèces, en développant des actions concrètes pour préserver leur biodiversité unique et les écosystèmes qui les abritent.</p><p>Ce numéro spécial de Science Eaux &amp; Territoires rassemble les travaux menés entre 2019 et 2024 par le pôle MIAME. À travers trois axes majeurs — l’évaluation des populations, l’analyse des impacts anthropiques et l’expertise pour la conservation — les auteurs dressent un état des lieux des connaissances et des innovations pour préserver ces espèces et leurs écosystèmes. Des outils moléculaires aux modèles prédictifs, en passant par la télémétrie et l’ADN environnemental, les recherches présentées ici éclairent les défis de la gestion durable des migrateurs amphihalins.</p><p>Le pôle MIAME est né d’une collaboration historique de plus de 50 ans entre l’INRA, l’ONEMA (devenu OFB). Officiellement créé en 2019, il fédère quatre établissements partenaires : OFB, INRAE, L’Institut Agro et l’Université de Pau et des Pays de l’Adour (UPPA).&nbsp;</p><div><br></div></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Les Doctoriales francophones en sciences sociales de l’eau : une édition 2023 sous le signe de l’adaptation des sociétés aux changements hydro-climatiques  ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Destandau, François<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738015020.jpg" /></a></p>
            <p><p>Les Doctoriales en sciences sociales de l’eau (DSSE) sont un rendez-vous incontournable pour la communauté francophone des jeunes chercheurs et chercheuses en sciences humaines et sociales travaillant sur la thématique de l’eau. Tous les deux ans, cet événement favorise échanges et collaborations à travers conférences plénières, sessions thématiques, tables rondes et sorties de terrain. L’édition 2023, organisée à Rennes, a mis en lumière deux défis méthodologiques clés : la contextualisation des documents historiques et la médiation entre science et action.&nbsp;</p><p>Ce numéro de la revue <i>Sciences Eaux &amp; Territoires</i> restitue la richesse des débats et des travaux présentés à travers six articles explorant des enjeux variés : l’eau en agriculture face au changement climatique, les impacts du tourisme au Sénégal, les transformations historiques des cours d’eau, ou encore les politiques publiques autour des micropolluants et de la renaturation des milieux aquatiques. Une contribution précieuse pour mieux comprendre les dynamiques contemporaines de l’eau et des sociétés.</p><div><br></div></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Anticiper pour mieux planifier : quelle demande en eau pour quelle agriculture demain ? ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Bouarfa, Sami<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738015013.jpg" /></a></p>
            <p><p>L’agriculture est en première ligne de tensions sur la ressource en eau, alors même que d’immenses attentes sociétales s’exercent déjà sur le secteur : sécurité et souveraineté alimentaire et économique, transition agro-écologique, préservation et restauration des milieux aquatiques, décarbonation... Les objectifs d’économie d’eau demandés au secteur agricole sont-ils compatibles avec ces attentes sociétales, et réciproquement ? De quels outils de prospective et d’évaluation dispose-t-on pour répondre à ces questionnements ?</p><p>Il devient ainsi impératif d’agir aujourd’hui pour anticiper demain, en engageant une concertation entre les différents acteurs de l’eau et de l’agriculture. Du dialogue territorial à la prise de décision, une planification réfléchie et collective sera nécessaire pour relever les défis qui nous attendent et assurer une gestion durable des ressources en eau.</p><p>Ce numéro spécial s’inspire des échanges du colloque « Anticiper pour mieux planifier : quelle demande en eau pour quelle agriculture demain ? » (2023) et explore quatre axes clés : L’évolution des pratiques d’irrigation en France, entre efficience parcellaire et limites des outils de télédétection ; La transition agroécologique, pour des sols plus résilients et des pratiques économes en eau ; L’évaluation des aménagements hydrauliques par l’analyse du cycle de vie ;</p><p>La gouvernance territoriale, où prospective et concertation dessinent des solutions adaptées aux territoires sous tension.</p><p>Des méthodes innovantes aux retours d’expérience, ce numéro offre des pistes concrètes pour une gestion durable de l’eau, de la plante au territoire.&nbsp;</p><div><br></div></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ De la gestion quantitative de l’eau à celle des écosystèmes aquatiques. Démarches et outils développés dans le cadre du partenariat INRAE-OFB ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Augeard, Bénédicte<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738015037.jpg" /></a></p>
            <p><p>Ce numéro de la revue <i>Sciences Eaux &amp; Territoires</i> explore la gestion de la ressource en eau et des milieux aquatiques, en mettant en lumière les dimensions quantitatives et qualitatives. Il poursuit un double objectif : d'une part, illustrer les actions conjointes de recherche et d'expertise scientifique menées par l'INRAE et l'OFB pour soutenir les politiques publiques de gestion de l'eau ; d'autre part, souligner l'importance d'une approche intégrée qui combine la gestion de la quantité d'eau, de sa qualité et des écosystèmes aquatiques.</p><p>Les articles du numéro sont organisés en trois parties. La première partie porte sur la mesure et la prévision des débits, l’accompagnement du contrôle des débits réglementaires par des bonnes pratiques en hydrométrie, les outils de prévision des étiages et la comparaison de modèles. La seconde partie se concentre sur la gestion de l’hydromorphologie et des zones humides. Enfin, la troisième partie met l’accent sur la détection précoce des impacts du changement global sur la biodiversité aquatique.</p><div><br></div></p>
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            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Restauration et reconnexion des marais littoraux – Regards croisés sur une solution d'adaptation aux changements globaux ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Gallet, Sébastien<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738030009.jpg" /></a></p>
            <p><p>La restauration des marais littoraux répond à de nombreux enjeux et engagements écologiques et sociétaux actuels : reconquête de la biodiversité, restauration des continuités écologiques, optimisation du volume oscillant et adaptation aux changements globaux. Cette restauration implique de nombreux processus non seulement écologiques et hydrologiques, mais aussi opérationnels, juridiques et fonciers. Par ailleurs, les dimensions sociales de ces projets sont centrales, qu'il s'agisse de la diversité des perceptions et des connaissances des lieux, de l'acceptation sociale ou encore des modes de compréhension des enjeux de restauration.&nbsp;</p><p>Ce numéro de la revue <i>Sciences Eaux &amp; Territoires</i> valorise les travaux présentés lors du colloque de restitution du programme de recherche sur la pertinence environnementale de la restauration des petits marais et prés salés (PEPPS, 2018-2021), organisé à Brest du 27 au 29 octobre 2021. Les articles sélectionnés adoptent une approche pluridisciplinaire, croisant les sciences humaines et sociales avec les sciences de l’environnement. Ils proposent des analyses théoriques, des résultats de recherche ainsi que des retours d’expérience de gestionnaires, offrant ainsi une vision riche et diversifiée des enjeux de la restauration des marais littoraux.</p><div><br></div></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
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            <title><![CDATA[ Sites naturels de compensation : quels freins et perspectives ? ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Aubry, Steve<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738030016.jpg" /></a></p>
            <p><p>Introduits par la loi « Biodiversité » de 2016, les sites naturels de compensation (SNC) sont un nouvel outil pour la mise en œuvre de la dernière étape de la séquence éviter, réduire, compenser (ERC). En favorisant une mutualisation des moyens et des mesures réalisées, les sites naturels de compensation sont présentés par les opérateurs qui les mettent en œuvre comme une réponse à une partie des difficultés écologiques et foncières rencontrées par l’approche classique de la compensation à la demande. Ils permettent également d’anticiper l’intégration des sites de compensation dans des territoires contraints et soumis à des pressions croissantes de fragmentation et de dégradation des milieux naturels.&nbsp;</p><p>Mis en œuvre depuis plusieurs dizaines d’années dans certains pays étrangers et plus récemment en France - d’abord à titre expérimental – les SNC font l’objet d’une analyse approfondie dans ce numéro de la revue <i>Sciences Eaux &amp; Territoires</i>. Les articles abordent notamment des considérations économiques, écologiques et de planification territoriale en mettant à profit les retours d’expérience de porteurs de projets, des scientifiques et des régulateurs institutionnels. Enfin, le numéro explore les raisons du déploiement limité du dispositif en France et les pistes pour y remédier.</p><div><br></div></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
        </item>
                <item>
            <title><![CDATA[ Des démarches participatives pour penser ensemble la gestion de l'eau et des territoires ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Hassenforder, Emeline<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738030030.jpg" /></a></p>
            <p><p>De plus en plus de gestionnaires territoriaux (techniciens, ingénieurs, chargés de mission, directeurs de syndicats, conservateurs, etc.) mettent en place des démarches participatives dans le cadre de projets, plans ou programmes. Ce numéro de la revue <i>Sciences Eaux &amp; Territoires</i> explore la diversité des pratiques et des méthodes employées pour associer les différents acteurs, notamment les citoyens, à la gestion de l’eau et des territoires. Il propose trois axes de lecture : une approche thématique (assainissement, pollutions diffuses, réutilisation des eaux usées traitées, etc.), une approche méthodologique (formation, prospective, évaluation, etc.), et une approche géographique (France métropolitaine et outre-mer, Afrique du Nord, Afrique subsaharienne).</p><p>Trois précisions sont essentielles pour comprendre le cadre de ce numéro. Premièrement, il traite aussi bien de la participation des citoyens que de celle des parties prenantes (représentants d’associations, administrations, entreprises privées, etc.). Deuxièmement, les articles se concentrent presque exclusivement sur des démarches participatives mises en œuvre pour accompagner les politiques publiques. Enfin, la majorité des méthodes présentées reposent sur l’approche COOPLAGE (« Coupler des Outils Ouverts et Participatifs pour Laisser les Acteurs s’adapter pour la Gestion de l’Environnement »), développée depuis 2003 par des chercheurs de l’unité mixte de recherche « Gestion de l’eau, acteurs et usages » (UMR G-EAU).</p><div><br></div></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
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                <item>
            <title><![CDATA[ Directive cadre européenne sur l'eau – Bilan de vingt années de recherche pour la reconquête de la qualité des masses d'eau ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Argillier, Christine<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738030023.jpg" /></a></p>
            <p><p>Le 23 octobre 2000, le Parlement et le Conseil européens ont adopté la directive cadre européenne sur l’eau (DCE), visant à enrayer la dégradation des milieux aquatiques continentaux et à restaurer le bon état des masses d’eau. Face à cet enjeu majeur, l’apport des scientifiques a été indispensable pour soutenir les opérateurs publics. Ce numéro de la revue <i>Sciences Eaux &amp; Territoires</i> dresse un bilan des avancées significatives réalisées en vingt ans de collaboration entre la recherche française et les services de l’État sur l’évaluation de l’état des cours d’eau, plans d’eau et estuaires.</p><p>Les travaux ont permis de mieux comprendre les processus écologiques et de valoriser ces connaissances à travers des publications académiques. Par ailleurs, les chercheurs ont activement collaboré avec les gestionnaires de l’eau (Office français de la biodiversité, ministère, directions régionales de l’environnement, de l’aménagement et du logement, ainsi que les agences de l’eau) pour développer des méthodes d’évaluation et des outils adaptés aux besoins. Lors du passage de ces outils à un usage opérationnel, les scientifiques ont accompagné leur mise en œuvre à travers des guides et dispositifs scientifiques tel qu’Aquaref, le laboratoire national de référence pour la surveillance des milieux aquatiques.</p><div><br></div></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
        </item>
                <item>
            <title><![CDATA[ Économies d'eau en irrigation ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Serra-Wittling, Claire<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738030047.jpg" /></a></p>
            <p><p>Les sécheresses récurrentes de ces dernières années ont renforcé la nécessité d’économiser l’eau pour tous les usages. L’agriculture, qui représente plus de 25 % des prélèvements en Europe, est particulièrement concernée. Avec le réchauffement climatique, l’évapotranspiration des plantes s’intensifie et le bilan hydrique des sols se dégrade. L’irrigation devient alors un levier clé pour atténuer ces effets, maintenir la production agricole et assurer la sécurité alimentaire. Cependant, son usage suscite des tensions, notamment dans le sud de l’Europe, rendant indispensable une approche repensée, intégrant économies d’eau, échelles territoriales et innovations technologiques.</p><p>Pour explorer ces enjeux, un colloque européen, « Économies en eau en irrigation », s’est tenu à Montpellier en novembre 2019. Scientifiques, entrepreneurs, agriculteurs et gestionnaires y ont échangé sur l’avenir de l’irrigation en Europe face au changement climatique. Onze États membres ont partagé leurs expériences en matière d’irrigation durable. Ce numéro de la revue <i>Sciences Eaux &amp; Territoires</i> en propose une synthèse, enrichie d’articles scientifiques et de témoignages d’acteurs du secteur.</p><div><br></div></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
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                <item>
            <title><![CDATA[ Forêt : relever les défis du changement climatique en France métropolitaine ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Ginisty, Christian<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738030054.jpg" /></a></p>
            <p><p>Les travaux et réflexions présentées dans ce numéro de la <i>revue Sciences Eaux &amp; Territoires</i> posent des questions majeures pour les forêts européennes dans le contexte du changement climatique. Une première partie met en lumière les impacts directs du changement climatique sur les essences forestières, révélant les défis auxquels elles sont confrontées, notamment en termes de croissance et de survie. La partie suivante présente des travaux menés en collaboration étroite avec les acteurs de la filière forêt-bois en France. Ces recherches visent à anticiper les effets du climat futur sur les forêts en proposant diverses stratégies d’adaptation, telles que l’introduction d’essences plus résilientes ou le développement de pratiques sylvicoles innovantes. Un autre volet s’intéresse aux contributions des forêts à l’atténuation du changement climatique et à la réduction des émissions de gaz à effet de serre. Ces études se concentrent sur l’augmentation de la séquestration de carbone, à la fois dans les écosystèmes forestiers et par une utilisation accrue du bois. Enfin, le dernier article aborde les risques environnementaux associés aux stratégies sylvicoles d’atténuation du changement climatique. Les auteurs y analysent les éventuelles contradictions et synergies entre la préservation de la biodiversité forestière, notamment dans les vieux peuplements, et les objectifs de réduction des émissions.</p></p>
            ]]></description>
            <pubDate>2026-04-29T08:00:02.437</pubDate>
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                <item>
            <title><![CDATA[ Terraform Cookbook : Hands-on enterprise recipes to automate, secure, and scale cloud infrastructure with 100+ recipes (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Husain, Huzefa<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365892383.jpg" /></a></p>
            <p><b>Description</b><br>
Modern cloud environments demand infrastructure that is scalable, secure, and consistently deployable across providers. Terraform has become the industry-standard tool for infrastructure as code, allowing teams to manage resources across AWS, Azure, and Google Cloud with a unified, declarative approach. However, moving Terraform from experimentation to production requires more than basic configurations.<br><br>

This book takes a hands-on, recipe-driven approach to Terraform, guiding readers through real-world infrastructure automation scenarios. Featuring more than 100 recipes, each chapter provides focused, practical solutions to specific infrastructure challenges, followed by a dedicated Chef’s Special project. These enterprise-grade projects are a unique feature, integrating multiple concepts into complete, production-scale architectures to help readers build reliable, secure, and maintainable systems.<br><br>

By the end of this book, the readers learn how to validate and test Terraform configurations, integrate infrastructure as code into CI/CD pipelines using tools such as GitHub Actions and Jenkins, and apply static analysis and security scanning with TFLint and Checkov. The readers will be able to design, test, and deploy production-ready infrastructure using Terraform with confidence, applying practices that meet real-world operational, security, and compliance requirements.
<p></p>

<b>What you will learn</b><br/>
? Design production-ready infrastructure using Terraform best practices.<br>
? Build reusable Terraform modules for scalable cloud environments.<br>
? Validate and test Terraform code using built-in tooling.<br>
? Automate Terraform workflows with GitHub Actions and CI/CD.<br>
? Secure infrastructure using policy checks and static analysis.<br>
? Manage Terraform state safely in collaborative teams.<br>
? Deploy and operate multi-cloud infrastructure with confidence.
<p></p>

<b>Who this book is for</b><br>
This book is for cloud engineers, DevOps engineers, platform engineers, site reliability engineers, and infrastructure solution architects who want to implement Terraform in real-world environments. It is ideal for professionals seeking to move beyond basic tutorials and apply infrastructure as code at enterprise scale.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Infrastructure as Code with Terraform<br>
2. Setting up Terraform and Your First Real-world Configuration<br>
3. Managing Variables, State, and Outputs in Terraform<br>
4. Building Reusable Configurations with Terraform Modules<br>
5. Provisioning Cloud Compute Instances with Terraform<br>
6. Networking and Security Infrastructure with Terraform<br>
7. Managing Storage and Databases with Terraform<br>
8. Using Terraform with External Data<br>
9. Scaling Infrastructure with Terraform<br>
10. Advanced Terraform Configuration Techniques<br>
11. Containers and Kubernetes with Terraform<br>
12. Testing and CI/CD Integration for Terraform<br>
13. Security and Best Practices in Terraform<br>
14. Troubleshooting Terraform Errors<br>
15. Multi-cloud Deployment Strategies with Terraform<br>
16. Collaborative Workflows with Terraform Cloud<br>
17. Capstone Enterprise Cloud Infrastructure Deployment</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Mastering Data Analytics with Excel : Mastering Excel analytics using basic to advanced insights (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Gottlieb, Dr. Isaac<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365891881.jpg" /></a></p>
            <p><b>Description</b><br>
Excel is a powerhouse for modern analytics, bridging the gap between raw data and strategic action. Beyond simple spreadsheets, its true potential lies in complex business modeling, data preparation, and advanced computation. By mastering the Analysis ToolPak, Solver, and dynamic visualizations, users can transform static rows into a responsive platform that uncovers the why behind the numbers.<br><br>

This book provides a comprehensive, step-by-step roadmap for students and professionals alike. The journey begins with data cleaning and essential functions before diving into sophisticated modeling. You will explore high-level capabilities, including PivotTables, What-If Analysis, and correlation methods. It also bridges the gap into predictive analytics, teaching you how to use regression, time series analysis, and Excel’s Forecast Sheet to anticipate trends and model future scenarios.<br><br>

By the end of this book, readers will move beyond basic data entry to become proficient analysts capable of solving complex problems. You will be equipped to optimize performance and lead with confidence. This book ensures you do not just use Excel, you harness it to drive the smarter, data-backed decisions that provide a clear competitive advantage in any industry.
<p></p>

<b>What you will learn</b><br/>
? Essential Excel functions for analysis, including lookups and conditional formulas.<br>
? Techniques for handling dates, times, and large datasets efficiently.<br>
? Creating intuitive dashboards with PivotTables, slicers, and visualizations.<br>
? Using advanced tools such as What-If Analysis, Solver, and the Analysis ToolPak.<br>
? Applying correlation and optimization techniques to real-world problems.<br>
? Turning complex data into actionable insights for strategic planning.<br>
? Forecasting with time series, regression, moving averages, and Excel’s Forecast Sheet.
<p></p>

<b>Who this book is for</b><br>
This book is for students, professionals, and decision-makers who want to use Excel to turn data into insights. Whether you are new to analytics or looking to sharpen your skills, it offers practical, step-by-step guidance to help you make smarter, data-driven decisions.
<p></p>

<b>Table of Contents</b><br>
1. Data Analytics Overview<br>
2. Data Analysis with Excel<br>
3. Cell and Range Names<br>
4. Importing Data into Excel<br>
5. Data Validation<br>
6. AI in Pattern Recognition<br>
7. Cleaning and Reshaping Data with Text Functions<br>
8. Cleaning Data Containing Date and Time Values<br>
9. LOOKUP, INDEX, and MATCH Functions<br>
10. Counting Functions in Excel<br>
11. SUMIF, AVERAGEIF, SUMIFS, and AVRERAGEIFS<br>
12. Sorting and Filtering Data<br>
13. Time and Date Functions<br>
14. Excel Subtotals<br>
15. Spinner Buttons, Scroll Bars, Option Buttons, and Checkboxes<br>
16. Data Visualization<br>
17. Estimating Demand and Supply Curves<br>
18. Exploring Data with PivotTables and PivotCharts<br>
19. Analysis with PivotTables, Slicers, and Timelines<br>
20. Power Pivot and Data Model<br>
21. Explaining What-If Analysis<br>
22. Optimization with Excel Solver<br>
23. Excel Data Analysis ToolPak<br>
24. Using Correlations to Summarize Relationships<br>
25. Understanding Time Series<br>
26. Using Moving Averages<br>
27. Exploring Regression Data<br>
28. Excel’s Forecast Sheet



</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Hello AI Transformation : Leading people, projects, and transformation in the age of AI (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Gondhalekar, Dr. Vasant<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365890525.jpg" /></a></p>
            <p><b>Description</b><br>
Digital transformation and AI are no longer just industrial terms; they are the core drivers of the modern economy. This book is your roadmap to navigating this shift by aligning vision with technology for lasting growth. It simplifies complex concepts into actionable steps, helping you lead with purpose and clarity in an automated world.<br><br>

The book systematically guides you through a successful digital journey. It begins with building solid strategies and using data for decision intelligence and market advantage. You will learn to bridge vision and execution via web applications and multi-channel tactics before exploring B2B and B2C models. The book explores the psychology of change, stakeholder alignment, and AI-enhanced project management. This book bridges the gap between complex technical concepts and real-world impact, helping you turn data into a powerful currency for innovation.<br><br>

By the end of this book, readers will have an in-depth understanding of business strategy, digital transformation, and the role of AI in growth and sustenance. It will equip readers to become the new age program leaders, with practical change management skills and the use of AI tools.
<p></p>

<b>What you will learn</b><br/>
? Understanding digital transformation's vital role in business.<br>
? Designing distinct B2B and B2C engagement models.<br>
? Change resistance and program management best practices.<br>
? Success, challenges, and responsibilities that come with AI.<br>
? Real-life examples of the transformation life cycle.<br>
? Building responsible AI adoption and energy strategies.
<p></p>

<b>Who this book is for</b><br>
This book is designed for aspiring or experienced program managers, business leaders, and strategy advisors. Students can also gain vital knowledge regarding transformation best practices. No prior technical expertise is required, making it accessible to anyone pursuing digital leadership roles.
<p></p>

<b>Table of Contents</b><br>
1. Driving Digital Strategy for Impact<br>
2. Navigating the Digital Economy with Data<br>
3. Turning Strategy into Digital Execution<br>
4. Designing Smart Strategies for B2B and B2C<br>
5. Stakeholders and Change Management<br>
6. Delivering Transformation Through Project Excellence<br>
7. Harnessing the Power of AI Transformation<br>
8. Building Sustainable and Intelligent Enterprises</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Hello FinOps : Understand FinOps lifecycle through cloud governance and multi-cloud billing reconciliation frameworks (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Annis, Paola<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365898774.jpg" /></a></p>
            <p><b>Description</b><br>
FinOps has revolutionized how businesses manage the cloud, shifting from a fixed cost mindset to a dynamic, variable spending model that requires constant oversight. This book is your professional roadmap, designed to help you balance financial accountability with technical agility.<br><br>

This book systematically guides you through the FinOps lifecycle, beginning with core frameworks, governance, and an understanding of complex cloud billing and meters. It will help readers grasp the logic and discipline of cost controls in a multi-cloud environment, addressing the main cloud providers, AWS, Azure, and GCP, and providing practical examples and guidelines for a successful FinOps practice. Finally, the book focuses on building a collaborative culture between finance and engineering, using unit economics and KPIs to measure long-term success.<br><br>

By the end of this book, readers will have a clear understanding and control of their FinOps practice across multiple public cloud environments, and full control of their cloud spend, ready to lead financial transformation in any modern organization.
<p></p>

<b>What you will learn</b><br/>
? Variable spend mindsets through the core FinOps lifecycle phases.<br>
? Audit complex cloud meters and map billing to departmental organizations.<br>
? Standardize multi-cloud billing data to compare costs across various providers.<br>
? Learn saving techniques with right-sizing, clean-up, commitments, and recurring checks.<br>
? The use of AI for FinOps teams.<br>
? Measure, track, optimize, and present to a C-level audience.
<p></p>

<b>Who this book is for</b><br>
The book is for cloud business professionals, FinOps teams, tech support, business administrators, product managers, and power users working with Microsoft Azure, AWS, and GCP. In general, the book is for multi-cloud public hyper-scalers that are looking to get full, reliable, sustainable control of their cloud spend.
<p></p>

<b>Table of Contents</b><br>
1. Fundamentals of FinOps<br>
2. FinOps Framework<br>
3. Understanding Cloud Bills<br>
4. Using AI as a FinOps Ally<br>
5. Right-sizing<br>
6. Clean-up<br>
7. Managing Kubernetes Costs in Multi-cloud<br>
8. Reservations and Plans<br>
9. Presenting Cost Data to Your Leadership Team<br>
10. Recurring Cost Controls<br>
11. Building a FinOps Culture<br>
12. Measuring FinOps Success<br>
Appendix: Cost Controls

</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ RAG with Python Cookbook : Learn principles of RAG with LLM and agentic AI, with 120+ recipes (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Dhyani, Deepak<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365895735.jpg" /></a></p>
            <p><b>Description</b><br>
Retrieval-augmented generation (RAG) has emerged as a critical technology in an era where organizations rely on accurate, context-aware AI systems. As LLMs expand across industries, RAG enables teams to build solutions that are more trustworthy, factual, and aligned with real-world knowledge, making it an essential skill for modern engineers, analysts, data scientists, and software developers.<br><br>

This book provides a comprehensive, hands-on guide to master RAG with Python. It begins with the foundations of embeddings, vector databases, and retrieval pipelines, moving into prompt engineering, hybrid search strategies, and prompt engineering strategies, like chain-of-thought and MapReduce to enhance response quality. It then covers evaluation, optimization, and agentic workflows. Each chapter delivers clear explanations that help you preprocess data, build scalable pipelines, integrate LLMs, automate reasoning, and deploy end-to-end RAG systems tailored to real-world use cases.<br><br>

By the end of this book, readers will be able to design, implement, and optimize robust RAG solutions with confidence. They will gain the skills to build retrieval-aware applications, enhance enterprise workflows, develop intelligent agents, and apply industry-proven techniques that directly strengthen their professional capabilities.
<p></p>

<b>What you will learn</b><br/>
? Build reliable RAG pipelines using Python and modern frameworks.<br>
? Apply effective document loading and splitting strategies.<br>
? Generate high-quality embeddings for semantic retrieval tasks.<br>
? Optimize vector store for scalable, fast and accurate information access.<br>
? Engineer prompts tailored for retrieval-augmented workflows.<br>
? Integrate LLMs efficiently into RAG systems.<br>
? Implement agentic AI for dynamic, adaptive retrieval processes.
<p></p>

<b>Who this book is for</b><br>
This book is ideal for data scientists, AI engineers, software developers, solution architects, and technical product managers building LLM-powered applications. It guides professionals who want practical, production-ready techniques to design, optimize, troubleshoot, and deploy high-performance RAG systems in real-world environments.
<p></p>

<b>Table of Contents</b><br>
1. Foundation of Retrieval-augmented Generation<br>
2. Document Loaders for RAG Pipelines<br>
3. Document Splitting Techniques<br>
4. Embedding Strategies for Vector Retrieval<br>
5. Vector Stores for Semantic Retrieval<br>
6. Efficient Retrieval from Vector Store<br>
7. Response Generation with LLM in RAG Systems<br>
8. Prompt Engineering for RAG Systems<br>
9. Effective Search for RAG Systems<br>
10. Implementing RAG with Chains<br>
11. Agentic RAG with Dynamic Retrieval
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Hello Modern Data Pipelines : A practical guide to designing and operating modern data pipelines (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Kishore Singh, Raj<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365894837.jpg" /></a></p>
            <p><b>Description</b><br>
Modern organizations rely on data pipelines to transform raw, continuously generated data into timely and reliable insights. As data volume, velocity, and complexity grow, engineers must design systems that support real-time processing, scalability, governance, and operational reliability. Understanding how these pipelines work has become essential for building data-driven products and platforms.<br><br>

This book provides an end-to-end view of modern data pipeline engineering. It is designed as a practical roadmap that bridges the gap between complex theory and real-world practice for aspiring engineers. It begins with an overview of pipeline objectives and essential ETL/ELT concepts before setting up your technical environment. Readers learn core data engineering principles, pipeline design patterns, ingestion techniques, data processing and transformation strategies, and storage choices. Later chapters focus on data quality, governance, security, real-time processing, orchestration, and monitoring.<br><br>

By the end of this book, readers will be equipped to design, build, and operate production-ready data pipelines with confidence. They will gain the skills needed to make informed architectural decisions, handle real-world data challenges, and build scalable, reliable systems that support analytics and business decision-making.
<p></p>

<b>What you will learn</b><br/>
? Understand modern data pipeline concepts and architectural foundations.<br>
? Design scalable, modular, and fault-tolerant pipeline architectures.<br>
? Implement reliable batch and real-time data ingestion strategies.<br>
? Transform raw data into analytics-ready datasets efficiently.<br>
? Select appropriate storage systems for performance and scalability.<br>
? Apply data quality, governance, and security best practices.<br>
? Operate, monitor, and troubleshoot production data pipelines.
<p></p>

<b>Who this book is for</b><br>
This book is for software engineers, data engineers, data architects, and platform engineers who design, build, or operate data-intensive systems. It is also suitable for analytics engineers, cloud practitioners, and professionals transitioning into data engineering roles.
<p></p>

<b>Table of Contents</b><br>
1. Introduction and Overview<br>
2. Data Engineering Essentials<br>
3. Designing Scalable Pipeline Architecture<br>
4. Advanced Data Ingestion and Integration<br>
5. Data Processing and Transformation<br>
6. Strategic Data Storage and Management<br>
7. Ensuring Data Quality, Governance, and Security<br>
8. Real-time Processing and Orchestration<br>
9. Case Studies and End-to-end Project<br>
10. Troubleshooting, Optimization, and Future Trends

</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Full Stack Web Development with Django and Vue : Learn, build, and deploy a professional LMS with REST APIs and Kubernetes (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Adedeji, Olatunde<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365895285.jpg" /></a></p>
            <p><b>Description</b><br>
Modern web applications are expected to be fast, secure, and easy to use. Django and Vue make a solid combination for building everything from internal dashboards to customer-facing products. This book shows you how to use them together in a clear, end-to-end development workflow.<br><br>

This book guides you from a blank project to a deployed app by building an LMS step-by-step. You will set up a Django backend, build REST APIs, and hook them up to a Vue frontend with routing, state management, forms, and authentication. This book scales up with interactive dashboards, real-time notifications via Django Channels and WebSockets, and a full suite of unit and integration tests. Finally, you will improve performance using caching and lazy loading, then package everything into Docker and Kubernetes for cloud deployment.<br><br>

By the end of the book, you will be able to take a full-stack application from idea to deployment with Django and Vue. You will know how to design APIs, build interactive UIs, secure, and ship a production app that is ready to grow. You will also possess a practical portfolio piece and the technical skills to handle complex web development challenges in any real-world setting.
<p></p>

<b>What you will learn</b><br/>
? Build a complete full-stack LMS with Django and Vue.<br>
? Design clean, reusable REST APIs for real-world web applications.<br>
? Implement Vue components, routing, forms, and Pinia state management.<br>
? Secure applications with authentication, authorization, and protected routes.<br>
? Add dashboards, real-time notifications, and interactive visualizations to products.<br>
? Test, profile, and optimize Django and Vue applications for performance.<br>
? Package and deploy your stack using Docker, Kubernetes, and cloud services.
<p></p>

<b>Who this book is for</b><br>
This book targets web developers, Python programmers, and computer science students with basic Django and JavaScript knowledge. Technical leads and project managers will also benefit from this practical guide to designing, deploying, and maintaining production-grade full-stack systems with Vue.
<p></p>

<b>Table of Contents</b><br>
1. Introducing Django 5 and Vue 3<br>
2. Setting up Your Development Environments<br>
3. Designing API Endpoints<br>
4. Developing Vue 3 Components<br>
5. Vue 3 Forms and User Interaction<br>
6. Managing User Authentication and Authorization<br>
7. Advanced LMS Admin<br>
8. Building an Interactive Dashboard<br>
9. Implementing Real-time Features<br>
10. Testing Django and Vue Applications<br>
11. Performance Optimization<br>
12. Deploying LMS with Cloud Computing
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Excel Crash Course : PivotTables, Power Query, charts, essential functions with Python and Copilot for modern AI analysis (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Prakash , Vinai<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365895636.jpg" /></a></p>
            <p><b>Description</b><br>
Excel is a powerful tool for data management and analysis, and mastering its tools is vital for anyone aiming to boost productivity in a data-driven world. This book is designed to help you master Excel’s vast capabilities, guiding you from fundamental skills to advanced techniques for data analysis, visualization, and data management.<br><br>

In the beginning, we cover basics like data entry, formatting, essential formulas, sorting, filtering, using tables, handling duplicates, and visualizing data with charts. Then, we dive into PivotTables, cleaning and transforming data, managing large datasets, named ranges, Excel shortcuts, templates, sharing and protecting data, and handling errors. You will learn modern Office 365 features, including the PY function for Python integration and Microsoft Copilot for AI-powered prompting.<br><br>

By the end of this book, you will be well-equipped to transform raw data into professional dashboards and possess a practical understanding of advanced Excel logic. You will become confident in Excel skills to analyze data, optimize workflows, and create compelling reports, making this book your essential guide to mastering Excel. 
<p></p>

<b>What you will learn</b><br/>
? Understand formulas and functions confidently.<br>
? Analyze data with PivotTables and dynamic dashboards.<br>
? Automate data cleaning via Power Query and nested text functions.<br>
? Boost productivity with Excel shortcuts, tips, and best practices.<br>
? Integrate Microsoft Copilot AI prompts and Python-based PY function analysis.<br>
? Work faster, analyze smarter, and deliver insights.
<p></p>

<b>Who this book is for</b><br>
This book is designed for everyday Excel users, data analysts, finance professionals, business executives, and managers who want to enhance their productivity, find answers quickly, analyze data, and get work done efficiently.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Excel<br>
2. Quick Data Input and Formatting<br>
3. Formulas and Functions<br>
4. Managing Data<br>
5. Create Amazing Charts and Visualize Data<br>
6. Unlocking the Power of PivotTables for Data Analysis<br>
7. Working with Large Datasets<br>
8. Data Cleaning Made Easy<br>
9. Boost Productivity in Excel<br>
10. Troubleshooting Excel Files<br>
11. Advanced PivotTable Mastery<br>
12. Excel Formatting Unleashed<br>
13. Advanced Excel Formulas<br>
14. Using Power Query to Transform Data<br>
15. Excel Best Practices<br>
16. Latest Functions and Tools in Excel<br>
17. Applying Artificial Intelligence with Excel Copilot
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ De l'arbre en ville à la forêt urbaine : Édition revue Ed. 2 ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Castagneyrol, Bastien<br/> 
            Editeur : Editions Quae<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782759243211.jpg" /></a></p>
            <p><p>La plantation d’arbres est utilisée par de nombreuses municipalités comme solution naturelle pour faire face aux enjeux du changement climatique. Ce choix permet d’abaisser la température en luttant contre les îlots de chaleur urbains, de fournir un support à la biodiversité, d’améliorer le cadre de vie ainsi que la santé physique et mentale des citadins. </p><p>L’arbre en ville, qu’il soit seul, en alignement ou dans un parc urbain, dépend de ses interactions avec les organismes qui lui sont associés dans les feuilles, le bois, le sol mais aussi de ses liens avec les arbres voisins et avec l’écosystème urbain. Fortement liés aux activités humaines, l’arbre en ville et la forêt urbaine font l’objet d’une gestion précise dont les enjeux et les modalités ont évolué au cours du temps. </p><p>L’environnement urbain présente en effet des contraintes mais offre également des opportunités pour le développement des arbres. En retour, l’arbre et la forêt contribuent à façonner l’environnement urbain, avec un bénéfice recherché pour les populations humaines, faisant d’eux des objets autant écologiques que politiques. </p><p>Cet ouvrage s’adresse à un public averti, et particulièrement aux personnes étudiantes et enseignantes en sciences du vivant et de l’environnement, en géographie, en sociologie et en sciences politiques. Il intéressera également les urbanistes, les gestionnaires des espaces verts et les élues et élus des municipalités.</p><p><b style="font-weight: bold; color: rgb(102, 102, 102); background-color: rgb(240, 240, 240);">Cet ouvrage en impression à la demande sera envoyé sous 3 semaines environ (France métropolitaine) et dans un colis séparé en cas de commande avec un autre livre papier.</b></p><p> </p></p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Linux Training Guide : Quick reference guide to deal with Linux kernel based operating systems (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Bhaisare, Naresh<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365898309.jpg" /></a></p>
            <p><b>Description</b><br>
Linux is a powerful and versatile operating system that is widely used across various fields, from personal computing to enterprise-level server management. This book is designed as a practical, hands-on guide that simplifies complex system administration into manageable steps for beginners and aspiring professionals.<br><br>

The book explains relevant concepts like sticky bits, system performance tuning, and Android log analysis directly within the workflow. It covers fundamental commands, file management, process control, package management, shell scripting, and essential networking tools. Each chapter is designed using practical examples and hands-on exercises to reinforce learning. By moving through areas like security, text processing, and mobile debugging, you will build a solid technical foundation through active practice.<br><br>

By the end of this book, you will be a competent Linux user capable of managing servers, automating workflows, and troubleshooting hardware with professional confidence. You will possess the practical skills needed to navigate any distribution and bridge the gap between desktop Linux and Android mobile development.
<p></p>

<b>What you will learn</b><br/>
? Essential command-line operations for file management, user control, and networking.<br>
? Introduction to shell scripting for task automation.<br>
? Managing processes, users, and services efficiently.<br>
? A concise guide designed for quick reference and daily use.<br>
? Jargon less approach to cover majority of readers to understand.<br>
? Readers will get insights to analyze various logs from the Android operating system.
<p></p>

<b>Who this book is for</b><br>
This book is ideal for students, IT professionals, developers, and aspiring system administrators. No prior Linux experience is required; however, a basic understanding of computer operations will help beginners and hobbyists master the command-line skills and essential concepts presented.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Linux<br>
2. Essential Linux Commands<br>
3. Process and Task Management<br>
4. File System Maintenance<br>
5. Networking and Remote Access<br>
6. Shell Scripting Basics<br>
7. Text Processing and Data Manipulation<br>
8. User Management and System Monitoring<br>
9. Package Management and Software Installation<br>
10. Basic Security Practices<br>
11. Performance Monitoring and Optimization<br>
12. Linux Commands for Android
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Rudiments de mathématiques en traitement du signal ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Tugaut, Julian<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782340115248.jpg" /></a></p>
            <p><p>Ce livre est le fruit d&#39;une douzaine d&#39;années à assurer des travaux dirigés dans les modules de traitement du signal. Il en présente les rudiments mathématiques que tout ingénieur se doit d’avoir acquis dans sa formation.</p><p>Il s&#39;adresse donc naturellement à tout étudiant en école d&#39;ingénieurs (filière initiale ou alternance) quel qu&#39;il soit : issu de prépa MPI, MP, PSI, PC, PT, TSI ou formé à l&#39;IUT. Les étudiants en licence peuvent également y voir une source reprenant la théorie du signal depuis le début.</p><p>La présentation des nombreuses démonstrations détaillées qu’il contient est aussi accessible que possible. </p><p>Le livre couvre toutes les bases mathématiques de la théorie du signal depuis le début avec la théorie des distributions jusqu&#39;aux signaux aléatoires en passant par l’étude des systèmes linéaires et invariants dans le temps et bien évidemment l’ouvrage couvre la théorie de Fourier (séries et transformée) en plus de la convolution.</p><p>Le livre repart des bases mathématiques mais demande au lecteur un niveau de Terminale solide ainsi que la maîtrise de la trigonométrie et des nombres complexes, quelques rudiments en algèbre linéaire et en probabilités (pour le septième chapitre). Bien sûr, l’intégration est un prérequis et la décomposition en éléments simples est un plus.</p></p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Think Like a Programmer : Practical Java solutions for students, developers, and interview preparation (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Ploetz, Aaron<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365899054.jpg" /></a></p>
            <p><b>Description</b><br>
Java is the backbone of modern enterprise software, and mastering its logic is the first step toward becoming a professional developer. This book offers a selection of curated questions, ranging from foundational topics to advanced programming concepts.<br><br>

The book begins with simple loops like for, while, and do-while before tackling file operations, logging, and I/O exceptions. Each chapter focuses on solving problems within a specific area of programming, allowing readers to practice, analyze, and upskill. The difficulty progressively increases as the readers learn to solve problems using basic data structures, arithmetic, and regular expressions. Finally, the book covers topics like data sorting, graphics, and complex data structures.<br><br>

By the end of this book, you will be competent in applying decision constructs to diverse programming challenges and possess a solid understanding of algorithmic efficiency. Through hands-on experience and real-world problems, this book ensures that learners develop the problem-solving skills necessary for success as a software developer.
<p></p>

<b>What you will learn</b><br/>
? Approaches to solving common programming problems.<br>
? Execute advanced string parsing and character identification through decision logic.<br>
? Solve complex operations utilizing recursive functions and mathematical logic constructs.<br>
? Develop systematic problem-solving skills for complex backend data processing tasks.<br>
? Develop logic and problem-solving skills incrementally.
<p></p>

<b>Who this book is for</b><br>
This book is for students, educators, and developers seeking to improve their programming logic. Readers should have basic Java syntax knowledge to solve problems involving recursion and data structures. It is ideal for candidates preparing for technical exams and professional interviews.
<p></p>

<b>Table of Contents</b><br>
Section 1: Beginner Problems<br>
1. Simple Loops<br>
2. File Operations<br>
3. Characters and Strings<br>
Section 2: Intermediate Problems<br>
4. Arithmetic Solutions<br>
5. Basic Data Structures<br>
6. Pattern Matching<br>
Section 3: Challenging Problems<br>
7. Complex Data Structures<br>
8. Sorting<br>
9. Graphics<br>
APPENDIX A: References<br>
APPENDIX B: Answers to Exercises

</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Building Data Integration Solutions : Design data pipelines, connect systems, deliver insights, and empower business transformation (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Guha, Sayan<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365897456.jpg" /></a></p>
            <p><b>Description</b><br>
In the current digital era, data integration is the backbone of actionable insights and informed decision-making. As organizations grow across cloud and hybrid ecosystems, the ability to design secure, robust, and scalable pipelines has become essential for driving innovation, compliance, and operational efficiency. This book is a practical guide designed to help you bridge the gap between fragmented data sources and a unified, scalable ecosystem.<br><br>

This guide covers the entire data integration lifecycle, beginning with core ETL/ELT concepts and data mesh architectures. You will progress from data profiling and modeling to building production-ready pipelines using AWS Glue, Azure Data Factory, and Apache NiFi. The book explores real-time streaming with Kafka and Kinesis, workflow orchestration via Airflow, and real-world applications in sectors like banking and healthcare. Finally, you will master DataOps essentials, including CI/CD with Terraform, IAM security, PII masking, and Prometheus monitoring, to ensure robust data governance and reliability.<br><br>

By the end of this book, readers will be equipped to design and manage production-grade data pipelines that are resilient, auditable, and future-ready. They will gain practical skills in data pipeline orchestration, solution architecture, DevOps, governance, security, and observability, empowering them to deliver trusted end-to-end data solutions and lead enterprise transformations in the age of data-driven innovation.
<p></p>

<b>What you will learn</b><br/>
? Architect data integration solutions for batch and real-time systems.<br>
? Design data pipelines across cloud and hybrid environments.<br>
? Implement CI/CD workflows for automated data pipeline delivery.<br>
? Secure pipelines with IAM, encryption, and secrets management.<br>
? Monitor, log, and handle errors for operational reliability.<br>
? Apply governance frameworks, ensuring compliance and data quality.<br>
? Explore emerging trends like data mesh and AI-driven integration.
<p></p>

<b>Who this book is for</b><br>
This book targets data engineers, architects, analysts, and students transitioning to cloud-native practices. Prior experience with basic databases is helpful as you master secure, enterprise-scale pipelines. It also serves researchers and managers needing practical, real-time industry use cases.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Data Integration<br>
2. Core Concepts, Patterns, and Architectures<br>
3. Planning Integration Projects and Designing Workflows<br>
4. ETL and ELT Development<br>
5. Real-time and Streaming Data Integrations<br>
6. Orchestrating Pipelines<br>
7. DevOps for Data Pipelines<br>
8. Securing Data Pipelines<br>
9. Monitoring, Logging, and Error Handling<br>
10. Data Governance, Quality, and Metadata Management<br>
11. Emerging New Trends in Data Integration

</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Data Privacy : Implementing privacy frameworks and machine learning models across AI, blockchain, healthcare, and IoT ecosystems (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Rocchi , Walter<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365899191.jpg" /></a></p>
            <p><b>Description</b><br>
Data is now the fuel of every industry, from healthcare and automotive to smart homes and AI-powered services. As connected devices, cloud platforms, and machine learning spread everywhere, privacy and security risks silently grow alongside innovation.<br><br>

Guided by real-world scenarios, the book moves from the origins of data privacy and regulatory frameworks to practical data classification, anonymization, and masking techniques you can implement. You will learn how automation, AI, and ML interact with privacy; how blockchain can both enhance and endanger data protection; how to secure IoT ecosystems and healthcare data; and how to manage privacy in automotive and smart mobility, including attack tools such as Flipper Zero. Finally, you will build a unifying privacy framework that ties together standards, governance, and hands-on controls across all these domains.<br><br>

By the end of this book, readers will be able to analyze and classify data, design and evaluate privacy controls. They will be equipped to translate privacy principles into concrete architectures, policies, and safeguards that make a measurable difference in their daily work, whatever their sector.
<p></p>

<b>What you will learn</b><br/>
? Classify and map data to effective, risk-based protection measures.<br>
? Apply anonymization, masking, swapping, and synthetic data for privacy preservation.<br>
? Evaluate blockchain, IoT, and AI architectures for privacy risks.<br>
? Design controls for healthcare, automotive, and smart home ecosystems.<br>
? Translate regulations into practical policies, procedures, and technical safeguards.<br>
? Mitigate DoS attacks on IoT physical layers and wireless sensors.
<p></p>

<b>Who this book is for</b><br>
This book is for privacy professionals, cybersecurity specialists, data protection officers, compliance managers, solution architects, and technical leads working with AI, IoT, cloud, or blockchain systems. It is also valuable for auditors, consultants, product managers, and engineers responsible for designing or assessing data-intensive services.
<p></p>

<b>Table of Contents</b><br>
1. Origin of Data Privacy<br>
2. The Steady State<br>
3. Data Classification<br>
4. Impact of Privacy Laws on Data Activities<br>
5. Anonymization<br>
6. Rise of Automation<br>
7. Machine Learning and Secure Programming<br>
8. Privacy in Blockchain<br>
9. Embedding Privacy in Blockchain<br>
10. Privacy in Healthcare<br>
11. Privacy and Security in Internet of Things<br>
12. Privacy in Automotive<br>
13. Setting up a Proper Privacy Framework with Monster Mesh<br>
14. Upcoming Future<br>
15. Case Studies
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Mastering Secure Software : Practical strategies for architecture, risk, and implementation (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Bajpai, Garima<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365895995.jpg" /></a></p>
            <p><b>Description</b><br>
In the dynamic digital landscape, the importance of secure software cannot be overstated. This book is a complete, easy-to-follow roadmap for creating safety in every single step of the development process.<br><br>

The book starts with a foundational analysis of the state of secure software, establishing the groundwork for strategic planning and the adoption of a Zero Trust paradigm. Learn how to implement practical strategies, from DevSecOps principles to continuous security integration, ensuring a resilient security posture. Explore the integration of cutting-edge technologies such as AI and ML while embracing open-source collaboration. Each chapter presents key takeaways, guiding you through risk-based testing, sustainable development practices, and hands-on practical assignments.<br><br>

By the end of this book, you will be truly ready to build and manage secure software that meets high industry standards. You will have the vital hands-on skills to fix security problems and protect important data in any modern professional workplace.
<p></p>

<b>What you will learn</b><br/>
? Apply NIST and OWASP security standards.<br>
? Design secure architecture and incident response.<br>
? Counter next-generation risks using quantum technology.<br>
? Solve challenges with real-world practical scenarios.<br>
? Implement ISO, GDPR, and HIPAA compliance.
<p></p>

<b>Who this book is for</b><br>
This book empowers engineering leaders, software architects, project managers, and C-level executives. Readers should possess foundational software development knowledge. It equips these professionals with essential technical frameworks and strategic tools required for effectively delivering robust, industry-compliant, secure software systems.
<p></p>

<b>Table of Contents</b><br>
Introduction<br>
1. Understanding Secure Software<br>
2. Planning Secure Software<br>
3. Preparing to Scale Secure Software<br>
4. Scaling Secure Software<br>
5. Technology Strategy for Secure Software<br>
6. Implementing Secure Software Technology Practice<br>
7. Risk-based Testing and Security Consideration<br>
8. Best Practices for Secure Software Development<br>
9. Emerging Technology Integration and Secure Software<br>
10. Open-source Software and Evolution of Collaborative Development<br>
11. Sustainability of Secure Software<br>
12. Industry Standards, Regulations, and Compliance<br>
13. Practical Assignments
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
        </item>
                <item>
            <title><![CDATA[ Mastering Oracle GoldenGate Microservices : Design, deploy, and optimize real-time data pipelines with the new version 23ai (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Hustatyova, Lucia<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365891935.jpg" /></a></p>
            <p><b>Description</b><br>
GoldenGate Microservices 23ai is a next-generation data replication platform designed for modern enterprise environments that demand real-time data movement, high availability, and intelligent automation. As organizations increasingly rely on continuous data integration for migrations, upgrades, analytics, and cloud adoption, understanding the architectural and operational advancements of GoldenGate 23ai has become essential for today’s database and platform professionals.<br><br>

This book will explore core architecture concepts, hub-based deployments, installation and upgrade strategies from 19c, and improved patching workflows. Readers will understand new 23ai features, including the enhanced web interface, expanded microservices architecture, AI integration, and auto conflict detection and resolution.<br><br>

By the end of this book, readers will be fully equipped to design, deploy, monitor, and automate highly available Oracle GoldenGate Microservices 23ai environments. They will gain the skills Oracleneeded to support mission-critical replication, perform zero downtime migrations, improve operational efficiency, and confidently manage GoldenGate 23ai in both on-premises and cloud-based enterprise landscapes.
<p></p>

<b>What you will learn</b><br/>
? Design MAA-based GoldenGate 23ai architectures for cloud and on-prem.<br>
? Implement AI-driven monitoring and intelligent replication insights.<br>
? Deploy GoldenGate Microservices hub configurations.<br>
? Build highly available active-active and failover replication environments.<br>
? Automate GoldenGate operations using REST APIs and AI capabilities.
? Manage patching workflows.
<p></p>

<b>Who this book is for</b><br>
This book is intended for intermediate to advanced professionals, including database administrators, database architects, solutions architects, cloud engineers, and platform engineers working with Oracle technologies. It is ideal for practitioners responsible for designing, operating, automating, or modernizing highly available, enterprise-grade data replication environments.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Oracle GoldenGate Microservices<br>
2. Architecture Design<br>
3. Installation of OGG 23ai<br>
4. Setting up Oracle GoldenGate Processes<br>
5. Upgrade OGG to 23ai<br>
6. Patching<br>
7. Part I: New Features in OGG MA 23ai<br>
8. Part II: New Features in OGG MA 23ai<br>
9. Maximum Availability Architecture<br>
10. Monitoring<br>
11. Automation<br>
12. Automation Examples

</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Embedded Software Testing : Developing reliable software from fundamentals to AI-based techniques (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Gruenfelder, Stephan<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365894288.jpg" /></a></p>
            <p><b>Description</b><br>
Embedded software differs from PC software because it is part of a product rather than the product itself, and its tasks range from automotive control units and industrial machines to life-sustaining medical devices. Testing embedded software requires understanding its unique challenges, including real-time behavior and hardware integration.<br><br>

Readers will learn how to apply requirements engineering, ensure requirements traceability, and perform automated static analysis alongside professional code reviews. The book covers black-box testing techniques, unit tests, and integration tests to verify hardware/software interaction and system performance, helping readers navigate RTOS, middleware, and concurrency issues. It also shows how AI-based techniques are entering the field of embedded testing.<br><br>

By the end of this book, readers will be equipped to design, implement, and manage testing strategies for both low and high-integrity embedded software. They will develop a comprehensive understanding of the essentials of test management, quality management standards like ISO 9001, and CMMI. The exercises and solutions will be valuable in gaining the skills needed to tackle complex testing challenges.
<p></p>

<b>What you will learn</b><br/>
? Implement unit tests and coverage.<br>
? Solve unique testing challenges within the embedded software development lifecycle.<br>
? Master requirements traceability and engineering.<br>
? Manage ISO 9001, liability, and CMMI.<br>
? Validate hardware/software integration and interfaces.<br>
? Debug RTOS and concurrency issues.<br>
? Analyze WCET and schedulability.<br>
? Manage test projects, quality, and liability effectively.
<p></p>

<b>Who this book is for</b><br>
Designed for embedded software engineers, testers, QA professionals, and test managers, this book is ideal for those with a basic understanding of C or C++ and who want to master the software testing environment. It is also designed for developers seeking to enhance their test strategy using AI-based testing techniques and modern automated static analysis.
<p></p>

<b>Table of Contents</b><br>
1. Foundations<br>
2. Requirements and Testing<br>
3. Review of the Design<br>
4. Automatic Static Code Analysis<br>
5. Code Reviews<br>
6. Black-box Testing Techniques<br>
7. Unit Tests<br>
8. Integration Tests<br>
9. System Tests<br>
10. Testing RTOS and Middleware<br>
11. Testing for Concurrency Issues<br>
12. Worst-case Execution Time Analysis<br>
13. Schedulability Analysis<br>
14. Hardware/Software Interaction Analysis<br>
15. Model-based Testing<br>
16. Using Trace Data for Testing<br>
17. AI-based Testing Techniques<br>
18. Test Management<br>
19. Quality Management<br>
20. Software Testing and Liability Risk<br>
APPENDIX A: Solutions to Exercises<br>
APPENDIX B: Test Documentation<br>
APPENDIX C: User Interface Tests of Infotainment Systems
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Power BI Crash Course : Transforming raw data into actionable strategies by leveraging Power BI to build a results-driven business intelligence ecosystem (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Adeeko, Olalekan<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365890587.jpg" /></a></p>
            <p><b>Description</b><br>
Power BI has revolutionized decision-making by turning raw data into actionable insights, making it a critical skill for modern business professionals. Power BI Crash Course is a comprehensive roadmap that helps you build an understanding of Power BI fundamentals through advanced enterprise implementations.<br><br>

The book begins with foundational concepts, including data connections, Power Query transformations, and data modeling with star schemas. You will progress through advanced DAX calculations, time intelligence functions, and performance optimization techniques essential for professional-grade analytics solutions. This book uses an integrated sales dataset to show how features combine in real-world business intelligence.<br><br>

By the end of this book, you will be able to master techniques for managing datasets with millions of rows, implementing incremental refresh, and using aggregations for optimal query performance. The comprehensive capstone project will challenge you to build a complete BI solution for a fictional retail company, integrating all learned skills from data preparation through final deployment. 
<p></p>

<b>What you will learn</b><br/>
? Connect to data sources and transform raw data into analysis-ready formats.<br>
? Design optimized data models with relationships, hierarchies, and performance considerations.<br>
? Create DAX calculations for complex business logic and time intelligence analysis.<br>
? Build interactive dashboards that effectively communicate insights to stakeholders.<br>
? Implement enterprise features including security, governance, and AI-powered analytics.<br>
? Optimize performance with query folding, incremental refresh, and aggregations.
<p></p>

<b>Who this book is for</b><br>
This book is ideal for business analysts, data analysts, BI developers, and IT professionals. Beginners with basic data concepts and Excel familiarity will find clear progression from fundamentals to advanced topics, and the experienced users can deepen their expertise in DAX optimization, performance tuning, and enterprise deployment strategies for building professional analytics solutions.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Power BI and Connecting to Data Sources<br>
2. Data Preparation with Power Query<br>
3. Designing Efficient Data Models<br>
4. DAX for Data Analysis<br>
5. Building Reports and Dashboards<br>
6. Power BI Service and Collaboration<br>
7. Integrating Power BI with Other Tools<br>
8. Advanced Analytics with Power BI<br>
9. Dataflows and the Common Data Model<br>
10. Power BI Administration and Governance<br>
11. Performance Optimization Techniques<br>
12. Capstone Project and Next Steps
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Transport moderne : Avec études de cas et exercices corrigés ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Barhoumi, Tarak<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782340115194.jpg" /></a></p>
            <p><p><strong>À la croisée des enjeux économiques, environnementaux et technologiques, le transport s’impose comme un pilier stratégique du développement durable.</strong> Cet ouvrage propose une vision complète et structurée des systèmes de transport modernes, en abordant à la fois leurs fondements, leurs modes et leurs défis actuels.</p><p>Du fonctionnement des différents modes (routier, maritime, multimodal) à la présentation des infrastructures, chaque chapitre offre un équilibre entre cadre théorique et application pratique. Une attention particulière est accordée aux problématiques d’optimisation, à la transition écologique, ainsi qu’aux systèmes de transport intelligents, qui redéfinissent aujourd’hui les logiques de mobilité.</p><p>Pensé pour les étudiants en génie logistique, en transport ou en économie des transports, cet ouvrage se veut également un outil de référence pour les professionnels en quête de repères clairs et opérationnels.</p><p>Clair, illustré d’exemples concrets et enrichi de cas d’application, ce manuel constitue un support de formation complet pour comprendre, analyser et concevoir les systèmes de transport de demain.</p></p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Platform Engineering for Artificial Intelligence : Designing scalable infrastructure, data pipelines, and model lifecycle management for generative AI and agentic protocols (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : V. Nguyen, Duy<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365897432.jpg" /></a></p>
            <p><b>Description</b><br>
Artificial intelligence is reshaping modern industries, but building scalable and reliable AI systems requires more than models, rather it needs strong platforms, automation, and data-driven insights. This book addresses that critical gap by exploring the AI ecosystem through foundational architecture and infrastructure automation.<br><br>

This book provides an in-depth knowledge of designing and building operating platforms that supportAI initiatives, covering data pipelines, model lifecycle management, infrastructure engineering, and operational best practices. Each chapter integrates core technical concepts and introduces generative AI, LLMs, and agentic protocols, backed by real-world case studies in healthcare and content moderation, supporting secure and cost-aware AI systems.<br><br>

After reading this book, readers will gain the knowledge and foundational skills to design and build AI platforms that optimize development workflows and embrace automation. This expertise prepares the readers to lead AI-driven initiatives and deliver measurable business impact in any modern organization.
<p></p>

<b>What you will learn</b><br/>
? Fundamentals of platform engineering, with a focus on how they apply to AI systems.<br>
? Design scalable data pipeline architectures.<br>
? Optimize cloud costs using FinOps.<br>
? Design, build, and operate secure, high-performance, and scalable ML pipelines.<br>
? Engineer platforms to support generative AI and LLMs.<br>
? Apply IaC and FinOps principles to manage resources and optimize costs.<br>
? Build, scale, and lead high-performing platform engineering teams.
<p></p>

<b>Who this book is for</b><br>
This book is for platform engineers, MLOps professionals, data scientists, and cloud developers who pursue designing and building scalable, efficient AI platforms. Readers should possess intermediate AI/ML knowledge and basic experience with cloud technologies, and is valuable for leaders overseeing AI platform initiatives.
<p></p>

<b>Table of Contents</b><br>
1. Need for Platform Engineering in AI<br>
2. Core Concepts of AI Platforms<br>
3. Developing Plan for Data Pipelines<br>
4. Architecting Data Pipelines<br>
5. Building Modular Machine Learning Pipelines<br>
6. Governance and Security in AI Platforms<br>
7. Infrastructure as Code for AI Platforms<br>
8. Financial Management in Platform Engineering<br>
9. Operationalizing Machine Learning Models<br>
10. Observability and Monitoring<br>
11. Building High-performing Platform Teams<br>
12. Managing and Scaling Platform Team<br>
13. Scaling Platforms for Enterprise AI<br>
14. Platform Engineering For Generative AI<br>
15. Real-world Use Cases<br>
16. Emerging Trends in AI Platforms
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ DDD Toolbox : Comprehensive overview of concepts and collaborative modeling (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Junker , Annegret<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365892741.jpg" /></a></p>
            <p><b>Description</b><br>
In today's era of microservices and cloud-native systems, software teams face mounting complexity. As digital transformation accelerates, the gap between business needs and technical implementation widens, causing costly miscommunications and irreversible decisions. Domain-Driven Design (DDD) provides the strategic and tactical tools to tackle this complexity and develop software that accurately reflects its domain.<br><br>

This guide connects high-level strategy with technical implementation, providing a clear path for anyone looking to build better systems through the Synergetic Blueprint. It covers key concepts such as ubiquitous language and Bounded Contexts, architectural patterns like anti-corruption layer and CQRS, and collaborative workshops including Event Storming and Domain Storytelling. Each method provides facilitation guidance, visual tools like Context Maps and API Product Canvas, and examples of AI integration. Designed as the practical companion to Mastering Domain-Driven Design, this reference organizes essential DDD methods into an accessible guide for daily practice.<br><br>

After reading this book, you will gain the confidence to facilitate domain modeling sessions, make well-informed architectural decisions, and apply DDD effectively in real projects, becoming a skilled architect and strategic collaborator who tackles complex domains with clarity. You will possess the practical skills to bridge the gap between business goals and technical reality using modern tools and AI.
<p></p>

<b>What you will learn</b><br/>
? Core DDD concepts and patterns.<br>
? Domain Storytelling and Event Storming facilitation.<br>
? Strategic and tactical architecture patterns.<br>
? Visual documentation with Context Maps and canvases.<br>
? AI integration in design workflow.<br>
? Pattern selection frameworks.<br>
? Synergetic Blueprint from discovery to implementation.
<p></p>

<b>Who this book is for</b><br>
This book is for software architects, developers, and business analysts who have basic knowledge of software systems. It supports professionals making architectural decisions, facilitating design workshops, or coaching teams in DDD practices, providing an essential toolbox for their daily work.
<p></p>

<b>Table of Contents</b><br><br>
1. Introduction to DDD<br>
2. DDD Basic Concepts<br>
3. DDD Architecture Concepts and Patterns<br>
4. Workshop Methods<br>
5. Canvases and Maps<br>
6. Artificial Intelligence Usage<br>
7. Summing Up
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Powering Enterprise DevSecOps : Engineering continuous security, operational excellence, and technical governance using DevSecOps, SRE, and intelligent platform frameworks (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Balaram Choudhary, Naresh<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365891379.jpg" /></a></p>
            <p><b>Description</b><br>
DevSecOps is the essential evolution of modern software delivery. This book is your definitive roadmap for mastering the shift, moving beyond theory to implement an automated continuous paradigm that drives measurable business value through VSM, SLAs, and KPIs for any large-scale organization.<br><br>

The book systematically guides you through the entire DevSecOps journey: You will start by defining the continuous practices, then immediately tackle enterprise scale challenges, applying threat modelling and implementing Zero Trust architecture to ensure comprehensive security. Learn to integrate quality across all nine SDLC phases, establish high-performing hybrid team structures, and leverage open source and the cloud era for speed. The book then accelerates into modern architecture with platform approach, micro-frontends, AI-ML in DevSecOps, and the full integration of SRE (SLOs, toil, observability, AI in SRE). Finally, explore specialized models like AIOps and FinOps, discover emerging trends like Policy as Code, and validate these strategies through real-world enterprise transformation journeys.<br><br>

By the end of this book, you will not only possess the deep technical knowledge to architect a scalable DevSecOps ecosystem but also the strategic insight to lead a major cultural and digital transformation. Whether you are a developer, architect, or transformation leader, this book helps you build secure, scalable, and resilient systems.
<p></p>

<b>What you will learn</b><br/>
? Align governance with Agile, secure, and scalable workflows.<br>
? Architect robust security with Zero Trust pipelines and advanced threat modelling.<br>
? Accelerate automation using platform-based engineering best practices.<br>
? Integrate security across development and delivery pipelines.<br>
? Build hybrid team structures and leverage open source in the cloud era.<br>
? Enable intelligent automation across the DevSecOps lifecycle using AI.<br>
? Scale enterprise DevSecOps across applications using standardize and optimize strategies.<br>
? Master VSM, SLAs, and KPIs for continuous DevSecOps success and governance.
<p></p>

<b>Who this book is for</b><br>
This book is for enterprise leaders, IT professionals, product companies, IT services firms, Global Capability Centers (GCCs), as well as for universities offering advanced courses in computer science and information technology. Readers should have foundational knowledge of Agile, DevOps principles, CI/CD pipelines, and basic cloud concepts before diving in. This book is intended for a wide spectrum of professionals and organizations driving digital transformation through DevSecOps.
<p></p>

<b>Table of Contents</b><br>
1. Getting Started with DevSecOps<br>
2. Continuous Paradigm<br>
3. Enterprise Scale DevSecOps<br>
4. Understanding Security in DevSecOps<br>
5. Understanding Quality Assurance in DevSecOps<br>
6. Team Structure for DevSecOps Implementation<br>
7. The Open Source Movement<br>
8. The Cloud Era<br>
9. Platform Approach for DevSecOps<br>
10. Architecture Learnings for Scaled DevSecOps Adoption<br>
11. Architecting Advanced DevSecOps with Site Reliability Engineering<br>
12. Artificial Intelligence, Machine Learning and DevSecOps<br>
13. DevSecOps Offshoots<br>
14. DevSecOps Prophecies<br>
15. IT Transformation Journey in a Large Enterprise<br>
Appendix

</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Big Data in Practice : Harnessing Spark, Kafka, and cloud computing for scalable AI solutions (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Jain, Jitender<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365896114.jpg" /></a></p>
            <p><b>Description</b><br>
Artificial intelligence systems today are driven by data at unprecedented scale. As machine learning, real-time inference, and generative AI reshape industries, organizations need robust big data platforms to ingest, process, and operationalize vast and complex datasets. Big data has become the backbone of modern AI systems, making data engineering skills essential for professionals across technology, analytics, and AI roles.<br><br>

This book provides a practical guide to designing and building data platforms that power AI applications. It covers core big data technologies such as Hadoop, Spark, Kafka, NoSQL, and cloud data platforms, then connects them to the AI lifecycle, including data ingestion, feature engineering, scalable model training, real-time inference, and MLOps. Real-world use cases across finance, healthcare, e-commerce, and autonomous systems demonstrate how these technologies work together in production environments.<br><br>

By the end of this book, the readers will be equipped to design end-to-end big data pipelines, support scalable AI and ML workloads, and extract insights from data at any velocity or volume. Whether you are a data engineer, ML practitioner, or architect, this book prepares you to build and operate AI-ready data systems with confidence.
<p></p>

<b>What you will learn</b><br/>
? Design scalable big data platforms for AI systems.<br>
? Process streaming and batch data at scale.<br>
? Apply cloud-native architectures for data and AI.<br>
? Engineer features and train models at scale.<br>
? Deploy models with real-time inference and MLOps.<br>
? Govern data security, privacy, and compliance at scale.
<p></p>

<b>Who this book is for</b><br>
This book is aimed at intermediate level professionals working with data and enterprise systems who want to apply big data technologies in real-world AI projects. It is well suited for data engineers, ML practitioners, software engineers, architects, and IT professionals building scalable AI-driven data platforms.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Big Data and AI integration<br>
2. Big Data Storage and NoSQL Databases<br>
3. Distributed Batch Processing with MapReduce and Apache Spark<br>
4. Real-time Data Streaming and Analytics<br>
5. Cloud-based Big Data Platforms<br>
6. Data Ingestion, Preparation, and Feature Engineering<br>
7. Scalable Machine Learning Model Training<br>
8. Model Deployment and Real-time Inference<br>
9. MLOps and Pipeline Automation<br>
10. Big Data in Finance and FinTech<br>
11. Big Data in Healthcare and Biomedicine<br>
12. Big Data in E-commerce and Marketing<br>
13. Big Data in IoT and Autonomous Systems<br>
14. Data Governance, Security, and Privacy<br>
15. Emerging Trends and Future Outlook
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ Mastering NLP with Hugging Face : Leveraging diffusion models, transformers, and reinforcement learning for generative and analytical systems (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : H. Leocadio, Paulo<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365893182.jpg" /></a></p>
            <p><b>Description</b><br>
The most influential libraries in modern AI, Hugging Face Diffusers has become one of the key powering breakthroughs in text-to-image generation, reinforcement learning, and large-scale inference pipelines. This book bridges theory and real-world implementation, enabling readers to translate complex AI concepts into scalable, production-ready solutions.<br><br>

This book offers a comprehensive, practical, and academic exploration of the diffusers ecosystem, beginning with foundational concepts of the Hugging Face library, progressing to multimodal diffusion, schedulers, RL algorithms (DQN, A3C, AlphaZero), and real-world deployment patterns across cloud platforms. Each chapter offers hands-on examples, design insights, and conceptual explanations that guide you from fundamentals to production-grade workflows.<br><br>

By the end of this book, readers will have the skills to build, train, evaluate, and deploy state-of-the-art diffusion models and reinforcement learning agents, while applying ethical and responsible AI practices across their work.
<p></p>

<b>What you will learn</b><br/>
? Build diffusion pipelines for NLP and vision tasks.<br>
? Train DQN, A3C, and AlphaZero RL agents.<br>
? Use schedulers for stable and efficient inference.<br>
? Deploy models across AWS, GCP, and Azure.<br>
? Apply ethical and responsible AI patterns.<br>
? Optimize performance with MLOps workflows.
<p></p>

<b>Who this book is for</b><br>
This book is written for ML engineers, cloud architects, cybersecurity analysts, generative AI developers, and researchers seeking a rigorous and practical guide to diffusion models and reinforcement learning. It is ideal for professionals designing scalable, ethical, and production-ready diffusion models and AI systems.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Hugging Face Diffusers Library<br>
2. Utilizing Hugging Face Diffusers for Text Classification<br>
3. Advanced Generative Tasks with Hugging Face Diffusers<br>
4. Sequence Labeling with Hugging Face Diffusers<br>
5. Transfer Learning for NLP Tasks<br>
6. Pipelines in Hugging Face Diffusers<br>
7. Schedulers in Hugging Face Diffusers<br>
8. Advanced Inference Techniques<br>
9. Build Your Own AlphaZero AI<br>
10. Deep Q-Network and Atari Games<br>
11. Asynchronous Actor-Critic with Gym-Retro<br>
12. Road Ahead<br>
References
</p>
            ]]></description>
            <pubDate>2026-04-22T08:00:02.863</pubDate>
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                <item>
            <title><![CDATA[ System Design : A guide to building scalable, reliable, and high-performance systems (English Edition) ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Vishwakarma, Amardeep<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9789365893342.jpg" /></a></p>
            <p><b>Description</b><br>
System design is the fundamental backbone of modern softwareensuring reliability under heavy pressure. This book serves as your essential guide to turning basic code into resilient, professional-grade distributed systems that power today’s digital world.<br><br>

This book systematically leads you through core scalability principles, comparing vertical and horizontal scaling while optimizing performance through latency and throughput metrics. You will master database design by exploring SQL, NoSQL, and sharding strategies. This book provides the details of microservices using REST, gRPC, and GraphQL, alongside critical security protocols like OAuth and JWT to protect your infrastructure. You then apply these components to build real-world projects, including WhatsApp-style chat systems, URL shorteners, and scalable notification engines, before concluding with production best practices, monitoring, and AI trends.<br><br>

By the end of this book, you will possess the technical confidence to architect high-concurrency applications and ace system design interviews. You will be fully equipped to design, secure, and scale enterprise-level solutions that handle millions of users with ease. 

<p></p>

<b>What you will learn</b><br/>
? Understand core principles behind scalable, distributed system architectures.<br>
? Design APIs, databases, caches, and message-driven components.<br>
? Apply system design to real-world problems and case studies.<br>
? Build reliable, fault-tolerant, high-performance production systems.<br>
? Evaluate trade-offs and make confident architectural decisions.
<p></p>

<b>Who this book is for</b><br>
This book is for software engineers, architects, and engineering managers building large-scale systems. It is ideal for interview preparation or leadership transitions. Readers should have basic programming knowledge and a fundamental understanding of how web servers and databases interact.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to System Design<br>
2. Scalability and Performance Basics<br>
3. Database Design for Scalable Systems<br>
4. Load Balancing and Traffic Distribution<br>
5. Message Queues and Event-driven Architecture<br>
6. API Design and Microservices Architecture<br>
7. Caching<br>
8. Security in System Design<br>
9. Designing a Real-time Chat System<br>
10. Designing a URL Shortener<br>
11. Designing a Notification System<br>
12. Building Scalable Systems in Production Final Thoughts

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            <pubDate>2026-04-22T08:00:02.863</pubDate>
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            <title><![CDATA[ Dimensionnement des structures en béton armé : Une approche didactique ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Nys, Jean-François<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782340115255.jpg" /></a></p>
            <p><p>À l’heure où la majeure partie des études de structures en béton armé est réalisée à l’aide de logiciels performants, il est de temps en temps intéressant de revenir aux fondements du fonctionnement de ce matériau composite, et de se remémorer les règles et les formules qui régissent son dimensionnement. Cela est utile et nécessaire pour valider ponctuellement les résultats fournis par les programmes informatiques en étant capable de comparer ceux-ci à ceux obtenus par un petit calcul manuel de contrôle.</p><p>Les étudiants des Universités ou des Écoles Supérieures trouveront ainsi dans ce travail de compilation, non seulement l’explication des principes de base élémentaires nécessaires à la compréhension du béton armé, mais également leur application aux calculs des différents éléments de structure, notamment par l’explication et le développement des formules à appliquer. Ils trouveront également les formules adaptées à utiliser dans de nombreuses situations différentes, ce qui est tout autant intéressant pour les ingénieurs diplômés et les professionnels.</p></p>
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            <title><![CDATA[ Agroécologie et marché - Volume 100 ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Collectif<br/> 
            Editeur : INRAE<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782738014764.jpg" /></a></p>
            <p><p>Le secteur agroalimentaire fait l’objet d’une segmentation croissante du marché avec la multiplication de démarches dites de qualité, publique ou privée, qui engagent les filières dans la construction de pratiques de production, de transformation ou de distribution différenciées. Nous connaissons peu de choses sur la manière dont ces démarches inscrivent leurs pratiques dans l’agroécologie, et en particulier pour les filières ayant une mention valorisante autre que l’agriculture biologique. De 2022 à 2023, la Direction Scientifique Agriculture INRAE a engagé un chantier exploratoire, avec 11 groupes filières INRAE, pour analyser comment se construisent des démarches de filières différenciées sur le marché et leur engagement en faveur de l’agroécologie.</p></p>
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            <title><![CDATA[ L'Économie circulaire dans le bâtiment : dix bonnes pratiques : Comment transformer les contraintes en opportunités ? ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Hetzel, Jean<br/> 
            Editeur : AFNOR<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782124659456.jpg" /></a></p>
            <p>Comment rénover les bâtiments suivant les principes de l'économie circulaire, pour un cadre de vie sain et confortable ?
Analyser l'existant, valoriser et mettre en œuvre les éco-matériaux du site ou de proximité, améliorer la gestion du projet et ses performances environnementales… Voici quelques-unes des bonnes pratiques à mettre en œuvre que propose cet ouvrage. À partir d'exemples concrets, les auteurs montrent que l'intégration de règles simples de circularité des matériaux de construction peut s'appliquer à tous les projets, tout en apportant des bénéfices environnementaux et économiques significatifs à l'ensemble des acteurs, notamment les usagers qui profitent d'une meilleure qualité de vie.
Quels sont les objectifs de cet ouvrage ? 
- connaître le territoire dans lequel s'inscrit le bâtiment ;
- diagnostiquer le bâtiment existant et valoriser ses déchets ;
- organiser la rénovation pour optimiser l'enveloppe, assurer l'efficience énergétique et gérer l'eau dans son cycle de vie ;
- contribuer à la mutualisation des démarches éco-responsables ;
- faire évoluer les financements pour faciliter l'accès à la rénovation durable.
Retrouvez tous les bons outils pour l'intégration d'une économie circulaire dans la construction et la rénovation des bâtiments, afin d'optimiser les performances environnementales. </p>
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            <title><![CDATA[ Face à l'aridité, la puissance de l'arbre : Inspirations paysannes et marocaines pour l'agroforesterie ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Geneviève Michon<br/> 
            Editeur : IRD Éditions<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782709930383.png" /></a></p>
            <p><p>La Terre est en voie d’aridification. De nombreuses régions tempérées risquent, dans les prochaines décennies, de se voir confrontées à des stress hydriques sévères : l’aridité est en passe de devenir notre quotidien. Il est temps que nous prenions l’affaire au sérieux !Pour contrer les effets néfastes de l’aridification, l’arbre est essentiel : remettre l’arbre partout où c’est possible est une urgence climatique et environnementale absolue. C’est aussi une urgence pour l’agriculture, dont les sols souffrent de la perte de leur ancien couvert arboré : l’arbre est l’agent le plus puissant et le moins coûteux pour restaurer rapidement des sols vivants.Pour inventer l’agroforesterie de demain pour les zones arides, ce qui existe dans ces régions en matière d’intelligence agroforestière construite sur des millénaires doit nous importer au plus haut point. C’est la raison d’être de ce livre, qui détaille les pratiques et les savoirs agroforestiers d’agriculteurs et d’agropasteurs du Maroc, mais aussi du Sahel, d’Éthiopie, d’Espagne ou de Corse.Plus qu’une démonstration scientifique, ce livre propose un parcours à la fois intellectuel, pragmatique et sensible, en mêlant résultats de recherche et impressions personnelles, descriptions techniques et écriture intime, texte et image. Pour éviter que « la sécheresse vienne dévaster nos terres et brûler nos âmes ».</p></p>
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            <title><![CDATA[ Comment exploiter vos idées  : Guide pratique de la propriété industrielle indispensable aux inventeurs et créateurs industriels (brevets, modèles, marques) Ed. 3 ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Quenderff, Jean-Philippe<br/> 
            Editeur : Editions du Puits Fleuri<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782867397790.jpg" /></a></p>
            <p><p><em>La France bouillonne d&rsquo;id&eacute;es et de talents. Les inventeurs ou porteurs de projets et d&rsquo;innovations, quel que soit leur &acirc;ge, ne cessent de se multiplier avec l&rsquo;ambition de faciliter notre vie quotidienne, tant priv&eacute;e que professionnelle. Mais, lorsqu&rsquo;il s&rsquo;agit de concr&eacute;tiser ses id&eacute;es, le chemin &agrave; parcourir se r&eacute;v&egrave;le sem&eacute; d&rsquo;embuches et de multiples difficult&eacute;s, le plus souvent d&eacute;courageantes.</em></p>
<p><em>Pour faire face &agrave; ce chemin de croix, c</em>e guide pratique de la propri&eacute;t&eacute; industrielle, totalement indispensable aux inventeurs et cr&eacute;ateurs industriels, vous conseillera de fa&ccedil;on pragmatique lors de toutes vos d&eacute;marches ; de la protection de votre cr&eacute;ation, demande brevet, marque, dessins et mod&egrave;le, aux contacts avec les industriels, en passant par toutes les &eacute;tapes vous ouvrant les portes de succ&egrave;s.</p>
<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;. Invention : d&eacute;finition, protection</p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;. Demande de brevet</p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;. Mod&egrave;les, marques</p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;. Contact avec les industriels, contrats...</p>
<p>La protection industrielle ou commerciale est un sujet ardu, qui est rarement explicit&eacute; de fa&ccedil;on clairement pr&eacute;cise. L&rsquo;invention et l&rsquo;innovation en souffrent dans notre pays puisqu&lsquo;une id&eacute;e un proc&eacute;d&eacute;, un produit pas ou mal prot&eacute;g&eacute; est aujourd&rsquo;hui vou&eacute; &agrave; une exploitation non contr&ocirc;l&eacute;e. Ce guide pratique, d&rsquo;une &eacute;criture concr&egrave;te, d&eacute;finit le pourquoi et le comment se garder des pillages en tous genres quand on est inventeur. Il donne &eacute;l&eacute;ments, outils et conseils pour aborder sereinement le choix d&rsquo;un mode d&rsquo;exploitation de ses id&eacute;es.</p></p>
            ]]></description>
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            <title><![CDATA[ Dans le vert des cartes : Agriculture et environnement au Brésil ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Ludivine Eloy<br/> 
            Editeur : Presses universitaires de Rennes<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9791041305575.png" /></a></p>
            <p><p>Proposer une réflexion sur les processus concomitants de développement agricole et de mise en œuvre de politiques environnementales au Brésil ; interroger l’invisibilité de pratiques agricoles derrière le « vert des cartes », malgré la reconnaissance des savoirs locaux et de droits territoriaux associés : tel est l’ambition du livre. Ce dernier s’appuie sur les résultats de vingt ans de recherches en Amazonie et dans le Cerrado. Observer les dynamiques des pratiques agropastorales dans ces espaces révèle des innovations techniques et sociospatiales, mais aussi le caractère sélectif des politiques socio-environnementales et leur rôle dans la production des marges. Il est aussi bien destiné aux spécialistes de l’Amérique latine qu’à un public plus large, sensible aux problèmes environnementaux globaux (déforestation, érosion de la biodiversité, crise hydrique). Il intéressera celles et ceux qui s’interrogent sur les traductions locales et concrètes de ces problèmes, ainsi que des solutions proposées. Il sera utile aux étudiants, enseignants et jeunes chercheurs en sciences sociales et en sciences biophysiques puisqu’il apporte des éléments théoriques et méthodologiques pour l’analyse de problèmes environnementaux complexes, au croisement d’enjeux socioéconomiques, politiques et épistémologiques, en proposant des encadrés sur des points précis.</p></p>
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            <title><![CDATA[ Crustacés de la Réunion : Décapodes et stomatopodes ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Joseph Poupin<br/> 
            Editeur : IRD Éditions<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782709923378.png" /></a></p>
            <p><p>Les crustacés de l’île de la Réunion peuplent les rivières, le milieu terrestre et ils sont omniprésents dans le milieu marin. Du littoral aux grandes profondeurs océaniques, ils se sont multipliés et diversifiés dans une exceptionnelle variété de formes et de tailles. Beaucoup d’entre eux présentent des colorations fascinantes que les plongeurs photographes sont de plus en plus nombreux à saisir sur leurs clichés, au cours des plongées nocturnes. Ce livre constitue le premier bilan illustré et documenté de la faune carcinologique réunionnaise. Au total, 483 espèces de crabes, crevettes, langoustes, anomoures et squilles sont inventoriées, dont 64 espèces reconnues pour la première fois à la Réunion. Les naturalistes passionnés y trouveront une aide pour l’identification des espèces, avec près de 180 espèces illustrées en couleurs et présentées par habitat. Les spécialistes y trouveront quant à eux l’historique des récoltes, une analyse zoogéographique et un inventaire documenté à jour avec la bibliographie associée. Ce livre sera également très utile aux gestionnaires des aires marines protégées, particulièrement fragiles à la Réunion.</p></p>
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            <title><![CDATA[ NF EN ISO/IEC 27001 – Sécurité de l'information, cybersécurité et protection de la vie privée : Systèmes de management de la sécurité de l'information ]]></title>
            <link>http://uh1.scholarvox.com/catalog/book/</link>
            <description><![CDATA[
            Auteur : Pinet, Claude<br/> 
            Editeur : AFNOR<br/> 
            <p><a href="http://uh1.scholarvox.com/catalog/book/"><img src="https://static2.cyberlibris.com/books_upload/300pix/9782124659227.jpg" /></a></p>
            <p>Notre monde se trouve dans un contexte complexe et incertain concernant la sécurité de l'information (cyberattaques, défaillance, menaces, vol de données) et l'émergence de l'IA générative provoque encore plus d'interrogation. 
Pour ne plus avoir la sensation d'être pris de vitesse par rapport à toutes ces évolutions et mettre en place de réelles solutions, ce livre propose de décrypter le texte normatif de l'ISO/IEC 27001 - Sécurité de l'information, cybersécurité et protection de la vie privée et de présenter les bonnes pratiques opérationnelles qui en découlent.
Pour y parvenir, cet ouvrage s'appuie sur une méthode qui intègre :
- la vraisemblance évaluée par niveaux : invraisemblable, peu vraisemblable, vraisemblable, très vraisemblable, pratiquement certain ;
- les conséquences évaluées par degrés : mineures, significatives, graves, critiques, catastrophiques.
Cette démarche et les nombreux exemples de terrains qui s'y rapportent vous guident pour construire un système de management de la sécurité de l'information (SMSI) opérationnel.
Cet ouvrage, véritable guide à suivre pour la mise en place et l'amélioration du SMSI dans votre organisme, vous prépare à passer l'audit de certification avec succès.
Pratique et simple d'accès, ce livre est un véritable sésame pour ceux qui souhaitent développer la culture « risques » et déployer un SMSI performant au sein de leurs structures.</p>
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