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.