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{ "item_title" : "Mastering SQL for Data Engineering", "item_author" : [" Rishu Raj "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/187/9798191879666_b.jpg", "price_data" : { "retail_price" : "50.99", "online_price" : "50.99", "our_price" : "50.99", "club_price" : "50.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering SQL for Data Engineering|Rishu Raj

Mastering SQL for Data Engineering : A Practical Guide to SQL, Database Design, ETL Pipelines, Query Optimization, Data Warehousing, Cloud Analytics, a

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798191879666
  • ISBN-10: 9798191879666
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9 x 6 x 0.39 inches
  • Shipping Weight: 0.55 pounds
  • Page Count: 182

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