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

RAJ, RISHU

 
9798191879666: Mastering SQL for Data Engineering: A Practical Guide to SQL, Database Design, ETL Pipelines, Query Optimization, Data Warehousing, Cloud Analytics, and Real-World Projects

Sinopsis

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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