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) - Softcover
Book 1 of 3: Foundations of Software and Data Systems in the AI Era
Synopsis
SQL for the AI Era
The 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 Inside
How SQL fits into today’s AI-driven ecosystems—and why it’s indispensable
Modern schemas and data models designed for machine learning and automation
Intelligent use of indexes, partitions, materialized views, and query optimization
Feature engineering principles every data team must understand
How to connect SQL with LLMs, agents, and real-time inference
Designing pipelines that support prediction, automation, and closed-loop systems
Real-world architectures used by AI-first organizations
Build Systems That Learn, Adapt, and Scale
Instead 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 For
Data Analysts & BI Professionals who want to level up into AI-ready design
Data Engineers & Architects building scalable automation and ML-ready pipelines
Developers integrating SQL logic with LLMs and intelligent applications
Tech Leaders and Founders who want to build future-proof data systems
Clear 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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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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SQL for the AI Era (Paperback)
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Paperback. Condition: new. Paperback. 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 organizationsBuild 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798274747226
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Paperback. Condition: new. Paperback. 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 organizationsBuild 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798274747226
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