Items related to SQL And Data Concepts (AI and ML Reference handbooks)
SQL And Data Concepts (AI and ML Reference handbooks) - Softcover
Book 14 of 22: AI and ML Reference handbooks
Synopsis
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.
"synopsis" may belong to another edition of this title.
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SQL And Data Concepts (Paperback)
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Paperback. Condition: new. Paperback. 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 techniquesDatabase design, normalization, indexing, and optimizationWindow functions, CTEs, joins, transactions, and performance tuningData warehousing, ETL/ELT, lakehouse concepts, and modern cloud SQL platformsProduction SQL patterns, troubleshooting, and data engineering best practicesSQL with Python, AI agents, vector databases, and LLM workflows495 interview questions and detailed answers covering beginner to advanced topicsWhether 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. 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 # 9798189917424
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