Mastering SQL for Data Engineering & Analytics. From Beginner to Expert: Analytics, Data Warehousing, Optimization & Real-World Case Studies (en Inglés) - Abhishek Kumar

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.

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

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

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

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

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.