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Mastering SQL for Data Engineering: A Practical Guide to SQL, Database Design, ETL Pipelines, Query Optimization, Data Warehousing, Cloud Analytics, a
Paperback
Publisher: Independently Published
Published: Aug 10 2026
Pages: 182
Weight: 0.55
Height: 0.39 Width: 6.00 Depth: 9.00
Language: English
Mastering SQL for Data Engineering is a comprehensive, hands-on guide that takes you from SQL fundamentals to advanced data engineering concepts used by leading technology companies. Whether you're a beginner or an experienced IT professional, this book provides practical explanations, real-world examples, and industry best practices to help you build scalable and efficient data solutions.
Inside this book, you'll learn how to:
- Build and manage relational databases
- Write efficient SQL queries
- Master joins, subqueries, and window functions
- Optimize SQL performance using indexes and execution plans
- Develop ETL and ELT data pipelines
- Design modern data warehouses
- Work with BigQuery, Snowflake, Redshift, Spark SQL, Hive, and Databricks
- Build real-world data engineering projects
- Prepare for SQL and Data Engineering interviews
With practical examples, mini projects, and a capstone project, this book is an ideal resource for students, software engineers, database administrators, data analysts, and aspiring data engineers looking to succeed in today's cloud-driven data ecosystem.
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