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Ajouter le résultat dans votre panier Faire une suggestion Affiner la rechercheAdvanced Distributed Scrum : A concise guide to building and leading remote and hybrid Scrum Teams / Kelley O'CONNELL / PACKT PUBLISHING (2025)
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Titre : Advanced Distributed Scrum : A concise guide to building and leading remote and hybrid Scrum Teams Type de document : e-book Auteurs : Kelley O'CONNELL Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781835468548 Note générale : copyrighted Langues : Anglais (eng) Résumé : Master distributed Scrum with real-world strategies and tools such as Slack, Trello, and CI/CD platforms to lead, collaborate, and deliver high-performing Agile projects, no matter where your team is locatedKey FeaturesHelp your team succeed globally while staying grounded in Agile Values and the 2020 Scrum GuideBridge async and sync work to increase alignment and team accountabilityApply real-world strategies for leading high-performing distributed teamsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe COVID-19 pandemic altered the way teams work, turning remote work into a common practice for Agile teams that were originally founded to be co-located, leaving teams to grapple with remote and hybrid setups. The Agile mindset, however, remains the standard for effective teamwork, and this book integrates distributed work into your Agile and Scrum Values. Advanced Distributed Scrum will guide you in harnessing the talents of global team members and overcoming the challenges of working across geographies. Renowned Agile coach and educator Kelley O’Connell distills 25+ years of experience into this concise guide. The book begins by establishing the foundational principles of distributed Scrum, highlighting the unique roles and responsibilities within hybrid and remote environments. You’ll gain insights into the challenges faced by distributed Agile teams and explore how to cultivate a strong remote team culture, improve communication, and effectively manage conflicts in a virtual space. Finally, you'll put remote Scrum practices into action to maximize the outcomes you're aiming for. By the end of this book, you’ll be equipped to lead and nurture high-performing distributed teams, facilitate remote ceremonies, implement remote-friendly CI/CD pipelines, and create team norms that drive engagement. What you will learnDefine and align remote roles for seamless collaborationSet up tools, workspaces, and team agreements for successRecruit, onboard, and integrate remote team membersBuild a strong team culture and resolve conflicts remotelyFacilitate remote Scrum events across time zonesImplement CI/CD pipelines in distributed environmentsEnsure security and compliance in remote Scrum setupsWho this book is forThis book is for Scrum Masters, Agile practitioners, coaches, product owners, and team leads who want to master remote and hybrid collaboration and build high-performing distributed Scrum teams. Whether you're experienced or new to leading distributed teams, this practical guide offers tools to enhance team effectiveness and continuous collaboration. A foundational understanding of Agile principles, the Agile mindset, and core frameworks is recommended to get the most value from this book. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88971950 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=612700 AI Agents in Practice : Design, implement, and scale autonomous AI systems for production / Valentina ALTO / PACKT PUBLISHING (2025)
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Titre : AI Agents in Practice : Design, implement, and scale autonomous AI systems for production Type de document : e-book Auteurs : Valentina ALTO Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781805801351 Note générale : copyrighted Langues : Anglais (eng) Résumé : Master the art of building AI agents with this hands-on guide to orchestration, multi-agent systems, real-world case studies, and ethical insights to drive immediate business impactKey FeaturesBuild production-ready AI agents with hands-on tutorials for diverse industry applicationsExplore multi-agent system architectures with practical frameworks for orchestrator comparisonFuture-proof your AI development with ethical implementation strategies and security patternsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs AI agents evolve to take on complex tasks and operate autonomously, you need to learn how to build these next-generation systems. Author Valentina Alto brings practical, industry-grounded expertise in AI Agents in Practice to help you go beyond simple chatbots and create AI agents that plan, reason, collaborate, and solve real-world problems using large language models (LLMs) and the latest open-source frameworks. In this book, you'll get a comparative tour of leading AI agent frameworks such as LangChain and LangGraph, covering each tool's strengths, ideal use cases, and how to apply them in real-world projects. Through step-by-step examples, you’ll learn how to construct single-agent and multi-agent architectures using proven design patterns to orchestrate AI agents working together. Case studies across industries will show you how AI agents drive value in real-world scenarios, while guidance on responsible AI will help you implement ethical guardrails from day one. The chapters also set the stage with a brief history of AI agents, from early rule-based systems to today's LLM-driven autonomous agents, so you understand how we got here and where the field is headed. By the end of this book, you'll have the practical skills, design insights, and ethical foresight to build and deploy AI agents that truly make an impact.What you will learnBuild core agent components such as LLMs, memory systems, tool integration, and context managementDevelop production-ready AI agents using frameworks such as LangChain with codeCreate effective multi-agent systems using orchestration patterns for problem-solvingImplement industry-specific agents for e-commerce, customer support, and moreDesign robust memory architectures for agents with short- and long-term recallApply responsible AI practices with monitoring, guardrails, and human oversightOptimize AI agent performance and cost for production environmentsWho this book is forThis book is ideal for AI engineers and data scientists looking to move beyond basic LLM implementations to build sophisticated autonomous agents. Software developers and system architects will find practical guidelines for integrating agents into existing tech stacks. Product managers and technical entrepreneurs will gain strategic insights into how AI agents can solve business problems across industries. A basic understanding of machine learning concepts and working knowledge of Python are required to make the most of this book and implement production-ready AI agent systems. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88972211 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=613639 Amazon Redshift Cookbook : Recipes for building modern data warehousing solutions / Shruti WORLIKAR / PACKT PUBLISHING (2025)
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Titre : Amazon Redshift Cookbook : Recipes for building modern data warehousing solutions Type de document : e-book Auteurs : Shruti WORLIKAR Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781836206910 Note générale : copyrighted Langues : Anglais (eng) Résumé : Set up a petabyte-scale, cloud-based data warehouse that is burstable and built to scale for end-to-end analytical solutionsKey FeaturesLearn how to translate familiar data warehousing concepts into Redshift implementationUse impressive Redshift features to optimize development, productionizing, and operation processesFind out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queriesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAmazon Redshift Cookbook offers comprehensive guidance for leveraging AWS's fully managed cloud data warehousing service. Whether you're building new data warehouse workloads or migrating traditional on-premises platforms to the cloud, this essential resource delivers proven implementation strategies. Written by AWS specialists, these easy-to-follow recipes will equip you with the knowledge to successfully implement Amazon Redshift-based data analytics solutions using established best practices. The book focuses on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. The book covers recipes to help you take full advantage of Redshift's columnar architecture and managed services. You'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, helping you minimize the operational effort that you invest in managing regular ETL pipelines and ensuring the timely and accurate refreshing of your data warehouse. By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution by adopting best-practice approaches for solving commonly faced problems.What you will learnIntegrate data warehouses with data lakes using AWS featuresCreate end-to-end analytical solutions from sourcing to consumptionUtilize Redshift's security for strict business requirementsApply architectural insights with analytical recipesDiscover big data best practices for managed solutionsEnable data sharing for data mesh and hub-and-spoke architecturesExplore Redshift ML and generative AI with Amazon QWho this book is forThis book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, including data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, as well as cloud concepts and familiarity with Redshift is beneficial. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88970718 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=610953 Architecting AI Software Systems : Crafting robust and scalable AI systems for modern software development / Richard D AVILA / PACKT PUBLISHING (2025)
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Titre : Architecting AI Software Systems : Crafting robust and scalable AI systems for modern software development Type de document : e-book Auteurs : Richard D AVILA Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781804615973 Note générale : copyrighted Langues : Anglais (eng) Résumé : Discover how to design intelligent software systems by balancing AI and traditional architecture. This guide offers a roadmap for robust, scalable AI-enabled systems, blending principles with practical insights.Key FeaturesLearn to integrate AI with traditional software architectures, enabling architects to design scalable, high-performance systemsExplore key tools and processes to mitigate risks in AI-driven system development, ensuring timely project delivery and budget controlGain hands-on experience through case studies and exercises, applying architectural concepts to real-world AI systemsBook DescriptionArchitecting AI Software Systems provides a definitive guide to building AI-enabled systems, emphasizing the balance between AI’s capabilities and traditional software architecture principles. As AI technologies gain widespread acceptance and are increasingly expected in future applications, this book provides architects and developers with the essential knowledge to stay competitive. It introduces a structured approach to mastering the complexities of AI integration, covering key architectural concepts and processes critical to building scalable and robust AI systems while minimizing development and maintenance risks. The book guides readers on a progressive journey, using real-world examples and hands-on exercises to deepen comprehension. It also includes the architecture of a fictional AI-enabled system as a learning tool. You will engage with exercises designed to reinforce your understanding and apply practical insights, leading to the development of key architectural products that support AI systems. This is an essential resource for architects seeking to mitigate risks and master the complexities of AI-enabled system development. By the end of the book, readers will be equipped with patterns, strategies and concepts necessary to architect AI-enabled systems across various domains.What you will learnUnderstand the challenges of building AI-enabled systems and managing risks like underperformance and cost overrunsLearn architectural tools to design and integrate AI into traditional systemsMaster AI/ML concepts like inference and decision-making and their impact on architectureUse architectural models to ensure system cohesion and functionalitySimulate and optimize AI performance through prototyping and iterationDesign scalable AI systems using patterns and heuristicsIntegrate AI into large systems with a focus on user experience and performanceWho this book is forThis book is designed mainly for software and systems architects responsible for designing and integrating AI capabilities into existing and new systems. It also serves as a valuable resource for CTOs, VPs of Engineering, and aspiring architects seeking a comprehensive understanding of the holistic approach to AI system development. Additionally, AI/ML engineers and software developers will benefit from gaining deeper insights into the architectural principles that underpin AI systems, enabling them to align their work with broader architectural goals Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88975014 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=618094 Architecting Power BI Solutions in Microsoft Fabric : Design optimal solutions using Power BI to address common data problems / Nagaraj VENKATESAN / PACKT PUBLISHING (2025)
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Titre : Architecting Power BI Solutions in Microsoft Fabric : Design optimal solutions using Power BI to address common data problems Type de document : e-book Auteurs : Nagaraj VENKATESAN Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781837639564 Note générale : copyrighted Langues : Anglais (eng) Résumé : Master Power BI and Microsoft Fabric to design scalable, secure, and efficient business intelligence solutionsKey FeaturesMake well-informed decisions while selecting the right Power BI component for a scenarioLearn how to design secure and performant solutions using Power BIFamiliarize yourself with the latest Power BI capabilities like AI features, Microsoft Fabric enhancements, and Git integrationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionBusiness Intelligence (BI) tools like Power BI are used by a wide range of professionals, creating diverse and complex scenarios, and finding the right solution can be daunting, especially when multiple approaches exist for a single use case. The author distills his 17 years of experience on various data platform technologies in this book to walk you through various Power BI usage scenarios. The book is structured around Power BI usage scenarios, such as developing solutions for corporate BI reporting, self-service BI reporting, and Power BI for data scientists and independent software vendors (ISVs). Each part highlights common data issues encountered in the usage scenario, the correct approach to solve the problems, and supporting technical guidance. The chapters also introduce you to some of the latest enhancements in Power BI, such as Microsoft Fabric integration with Power BI, AI features like Copilot, Power BI Git integration, and Power BI Governance features. By the end of this book, you’ll have learned how to design optimal solutions using Power BI components and pick the right tool for the job, while adhering to security and performance best practices.What you will learnExplore Power BI fundamentals and usage scenariosGet to grips with optimal data models and reports for corporate reportingLeverage AI while building self-service reporting solutionsDiscover AutoML, as well as Python and R integration featuresDevelop expert solutions for ISVs using Power BI EmbeddedUnderstand Microsoft Fabric integration features for Power BIWho this book is forThis book is for anyone who uses Power BI at work. Solution architects, data engineers, Power BI administrators, and Power BI report developers will benefit from every section of the book. Business analysts and data scientists can use this book to learn about self-service BI features and data science capabilities, respectively. Although not mandatory, prior exposure to Power BI will help you get the most out of this book. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88970732 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=610967 ASP.NET Core 9.0 Essentials : Explore the .NET Core web stack, including Razor Pages, Blazor, and MVC, to build cloud-ready apps / Albert S. TANURE / PACKT PUBLISHING (2025)
PermalinkASP.NET Core 9 Web API Cookbook : Over 60 hands-on recipes for building and securing enterprise web APIs with REST, GraphQL, and more / Luke AVEDON / PACKT PUBLISHING (2025)
PermalinkAutodesk Civil 3D 2026 from Start to Finish : Learn dynamic, automation-led workflows and intelligent tools for modern civil infrastructure designs / Stephen WALZ / PACKT PUBLISHING (2025)
PermalinkAWS Certified Advanced Networking – Specialty (ANS-C01) Certification Guide : A pragmatic guide to acing the AWS ANS-C01 exam / Tim MCCONNAUGHY / PACKT PUBLISHING (2025)
PermalinkAWS for Solutions Architects : Design and scale secure AWS architectures with GenAI strategies and real-world patterns / Saurabh SHRIVASTAVA / PACKT PUBLISHING (2025)
PermalinkAzure AI-102 Certification Essentials : Master the AI Engineer Associate exam with real-world case studies and full-length mock tests / Peter T. LEE / PACKT PUBLISHING (2025)
PermalinkAzure Cloud Projects : Learn Microsoft Azure through hands-on, real-world projects / Hamid Sadeghpour SALEH / PACKT PUBLISHING (2025)
PermalinkAzure for Developers : The definitive guide to creating secure, scalable Azure apps with GenAI, serverless, and DevOps pipelines / Kamil MRZYGLOD / PACKT PUBLISHING (2025)
PermalinkAzure OpenAI Essentials : A practical guide to unlocking generative AI-powered innovation with Azure OpenAI / Amit MUKHERJEE / PACKT PUBLISHING (2025)
PermalinkBefore Machine Learning Volume 3 - Probability and Statistics for A.I : Master Probability, Statistics, and Their Role in AI's Future Evolution / Jorge BRASIL / PACKT PUBLISHING (2025)
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