SQL And Data Concepts (AI and ML Reference handbooks) - Tapa blanda

Sinopsis

Master SQL and modern data systems with a practical guide designed specifically for AI and Machine Learning professionals. SQL & Data Concepts for AI/ML Engineers takes you from core relational database concepts to advanced SQL techniques, cloud data platforms, production data engineering, and AI-ready data architectures.

Rather than focusing only on syntax, this book explains how SQL is used in real-world AI/ML pipelines—from data preparation and feature engineering to model monitoring, vector databases, and LLM-powered applications. Every topic is presented with clear explanations, practical examples, diagrams, layman analogies, production insights, troubleshooting guidance, and interview-focused discussions.

Inside this book you'll learn:

• SQL fundamentals through advanced query techniques
• Database design, normalization, indexing, and optimization
• Window functions, CTEs, joins, transactions, and performance tuning
• Data warehousing, ETL/ELT, lakehouse concepts, and modern cloud SQL platforms
• Production SQL patterns, troubleshooting, and data engineering best practices
• SQL with Python, AI agents, vector databases, and LLM workflows
• 495 interview questions and detailed answers covering beginner to advanced topics

Whether you're preparing for technical interviews, building AI/ML data pipelines, or strengthening your production SQL skills, this comprehensive reference provides the practical knowledge needed to become a confident data professional.

Ideal for AI/ML Engineers, Data Scientists, Data Engineers, Analytics Engineers, Software Engineers, and students seeking a complete SQL reference with real-world applications.

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