04509nam 22005895 450 991040999270332120200702232649.010.1007/978-1-4842-5823-1(CKB)4100000011306146(MiAaPQ)EBC6229419(DE-He213)978-1-4842-5823-1(CaSebORM)9781484258231(PPN)248598821(OCoLC)1198376621(OCoLC)on1198376621(EXLCZ)99410000001130614620200615d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe Modern Data Warehouse in Azure Building with Speed and Agility on Microsoft’s Cloud Platform /by Matt How1st ed. 2020.Berkeley, CA :Apress :Imprint: Apress,2020.1 online resource (297 pages)9781484258231 1484258231 9781484258224 1484258223 Includes bibliographical references.1. The Rise of the Modern Data Warehouse -- 2. The SQL Engine -- 3. The Integration Engine -- 4. The Ingestion Architecture -- 5. The Role of the Data Lake -- 6. The Role of the Data Contract -- 7. Logging, Auditing, and Resilience -- 8. Using Scripting & Automation -- 9. Beyond the Modern Data Warehouse.Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast—fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. You will: Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse.Microsoft softwareMicrosoft .NET FrameworkDatabase managementMicrosoft and .NEThttps://scigraph.springernature.com/ontologies/product-market-codes/I29030Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Microsoft software.Microsoft .NET Framework.Database management.Microsoft and .NET.Database Management.658.40380285574How Mattauthttp://id.loc.gov/vocabulary/relators/aut905554MiAaPQMiAaPQMiAaPQBOOK9910409992703321The Modern Data Warehouse in Azure2025659UNINA04941oam 22005053n 450 991101185830332120250628110041.01-83664-784-0CIPO000183236(CKB)38111590700041(CaSebORM)9781836647850(OCoLC)1511788789(OCoLC-P)1511788789(FR-PaCSA)88969988(MiAaPQ)EBC32157571(Au-PeEL)EBL32157571(ODN)ODN0011161417(OCoLC)1524424171(FRCYB88969988)88969988(EXLCZ)993811159070004120250328d2025 uy 0engur|||||||||||rdacontentrdamediardacarrierPractical generative AI with ChatGPT unleash your prompt engineering potential with OpenAI technologies for productivity and creativity /Valentina Alto2nd ed.[S.l.] PACKT PUBLISHING LIMITED20251 online resourceTitle from eBook information screen..1-83664-785-9 Table of Contents Introduction to Generative AI OpenAI and ChatGPT: Beyond the Market Hype Understanding Prompt Engineering Boosting Day-to-Day Productivity with ChatGPT Developing the Future with ChatGPT Mastering Marketing with ChatGPT Research Reinvented with ChatGPT Unleashing Creativity Visually with ChatGPT Exploring GPTs Leveraging OpenAI Models for Enterprise- Scale Applications Epilogue and Final Thoughts.Transform your professional world with ChatGPT and OpenAI—master prompt design to revolutionize development, marketing, research, and enterprise implementation Key Features Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results Build custom GPTs and assistants tailored to your specific business needs and workflows Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPractical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow. Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You’ll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs. The chapters show you how to use ChatGPT’s multimodal capabilities to generate images with DALL·E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI’s APIs into your applications. You’ll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away. By the end of this book, you’ll be well equipped to leverage OpenAI's technology for competitive advantage. What you will learn Explore the fundamentals of generative AI and GPT models Master prompt engineering to consistently get relevant and reliable outputs from ChatGPT Develop marketing strategies and conduct meaningful A/B testing with AI assistance Boost your coding with code generation, review, and optimization Enhance research with real-time knowledge mining Enhance your visual creativity with image generation, image understanding, and style transfer Design custom GPTs and assistants tailored to specific business functions Discover how enterprises are leveraging large language models for their AI apps Who this book is for This book is ideal for business professionals, developers, marketers, researchers, and decision-makers who want to leverage AI to enhance productivity. No advanced technical background is required for the foundational sections, making the content accessible to beginners, while later chapters provide depth for technical professionals implementing enterprise solutions. If you’re seeking practical applications of generative AI in business contexts, you’ll find immediate, actionable value in this book.Artificial intelligenceComputer programsArtificial intelligenceComputer programs.006.3/5BUS043060COM051090COM081000bisacshAlto Valentina1790866OCoLC-POCoLC-PBOOK9911011858303321Practical generative AI with ChatGPT4403500UNINA