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Artículo: AMZ-B0G2HSQ7V8
SQL for the AI Era: The Complete Handbook for Intelligent Data Systems, Machine Learning Readiness, and Real-World Automation (Foundations of Software and Data Systems in the AI Era)
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Kindle
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0.20 kg
0.20 kg
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Amazon
Amazon
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USA
Sobre este producto
- SQL for the AI EraThe Complete Handbook for Intelligent Data Systems, Machine Learning Readiness, and Real-World Automation Turn your databases into engines of intelligence.In a world driven by automation, real-time analytics, and machine-generated decisions, SQL has become more important—not less. The companies leading the AI revolution all have one thing in common: they treat their data like a strategic engine, and SQL is the language that powers it. This book shows you how to think, design, and build like those companies.SQL for the AI Era is a modern, practical, and deeply actionable handbook for developers, analysts, engineers, and business leaders who want to turn their data systems into intelligent, scalable, AI-ready engines. Whether you're preparing your organization for machine learning, building automated workflows, or designing a robust analytical foundation—this book walks you step-by-step through the new rules of data architecture.You will learn how to structure data for intelligence, design high-performance queries, build real-world pipelines, and implement concepts that transform SQL from a reporting tool into a core enabler of AI-powered products. What You Will Discover InsideHow SQL fits into today’s AI-driven ecosystems—and why it’s indispensableModern schemas and data models designed for machine learning and automationIntelligent use of indexes, partitions, materialized views, and query optimizationFeature engineering principles every data team must understandHow to connect SQL with LLMs, agents, and real-time inferenceDesigning pipelines that support prediction, automation, and closed-loop systemsReal-world architectures used by AI-first organizations Build Systems That Learn, Adapt, and ScaleInstead of presenting SQL as a static language, this book shows how to integrate it with modern technologies—vector databases, streaming platforms, model stores, agent frameworks, and cloud-native systems. The result is a practical blueprint for transforming raw data into intelligent decisions. Who This Book Is ForData Analysts & BI Professionals who want to level up into AI-ready designData Engineers & Architects building scalable automation and ML-ready pipelinesDevelopers integrating SQL logic with LLMs and intelligent applicationsTech Leaders and Founders who want to build future-proof data systemsClear explanations, real-world diagrams, practical examples, and a forward-thinking perspective make SQL for the AI Era one of the most relevant data books of this decade.If you want to stay ahead of the curve—and build systems that power the next generation of AI—this is your essential guide. Order Now.
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