Mastering SQL for Data Engineering : A Practical Guide to SQL, Database Design, ETL Pipelines, Query Optimization, Data Warehousing, Cloud Analytics, and Real-World Projects

Rishu Raj

ISBN 13: 9798191879666

Published by Independently Published Aug 2026, 2026

About this Item

Neuware - 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 interviewsWith 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.

Seller Inventory # 9798191879666

Bibliographic Details

• Title: Mastering SQL for Data Engineering : A Practical Guide to SQL, Database Design, ETL Pipelines, Query Optimization, Data Warehousing, Cloud Analytics, and Real-World Projects
• Publisher: Independently Published Aug 2026
• Publication Date: 2026
• Language: English
• ISBN 13: 9798191879666
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 10D millimeters 229 millimeters width by 152 millimeters height by 10 millimeters depth
• Weight: 253 grams

About this title

Synopsis

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.