Mastering SQL for Data Engineering (Paperback)

Rishu Raj

ISBN 13: 9798191879666

Published by Independently Published, 2026

About this Item

Paperback. 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 databasesWrite efficient SQL queriesMaster joins, subqueries, and window functionsOptimize SQL performance using indexes and execution plansDevelop ETL and ELT data pipelinesDesign modern data warehousesWork with BigQuery, Snowflake, Redshift, Spark SQL, Hive, and DatabricksBuild real-world data engineering projectsPrepare 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. 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 # 9798191879666

Bibliographic Details

• Title: Mastering SQL for Data Engineering (Paperback)
• Publisher: Independently Published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798191879666
• Binding: Paperback
• Condition: new

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.