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Mastering SQL for Data Engineering & Analytics: From Beginner to Expert: Analytics, Data Warehousing, Optimization & Real-World Case Studies
Paperback
Series: Data Engineering Domain for Professional, Book 17
Publisher: Independently Published
Published: Mar 20 2026
Pages: 144
Weight: 0.61
Height: 0.37 Width: 6.00 Depth: 9.00
Language: English
SQL is the foundation of modern data careers, yet most learners only scratch the surface.
This book takes you beyond basic queries and teaches you how to use SQL in real-world data engineering, analytics, and large-scale systems. Whether you are preparing for interviews, building projects, or working with production data, this guide provides everything you need to succeed.
What You Will Learn
Advanced SQL techniques used in real companies
Data warehousing concepts (Star Schema, SCD, Fact and Dimension tables)
Window functions, aggregations, and complex queries
Performance tuning and query optimization
SQL in cloud platforms (Snowflake, BigQuery, Redshift)
ETL and ELT pipelines and data engineering workflows
Real-world case studies and business analytics
Hands-on exercises and capstone projects
Real-World Focus
This book is designed for practical application, not just theory.
You will learn how to:
Build a complete data warehouse
Analyze customer behavior and revenue
Optimize slow SQL queries
Design scalable data systems
Solve real interview questions
Who This Book Is For
Aspiring Data Engineers
Data Analysts and BI Developers
Software Engineers transitioning into data roles
Students preparing for technical interviews
Professionals looking to upgrade their SQL skills
Why This Book is Different
Unlike many SQL books, this guide provides:
End-to-end learning from beginner to advanced to real-world systems
Cloud, data engineering, and analytics concepts in one place
Practical business use cases instead of only theory
Portfolio-ready projects to showcase your skills
Take Your Career to the Next Level
By the end of this book, you will be able to:
Write advanced SQL queries with confidence
Build real-world data solutions
Optimize performance for large-scale systems
Prepare effectively for data engineering interviews
If you want to become a job-ready data professional, this book provides a complete and practical roadmap.
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