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Master ETL Testing: SQL, Data Warehousing & QA Test
331 students

Master ETL Testing: SQL, Data Warehousing & QA Test

Validate Big Data with SQL. Master ETL lifecycles, data mapping, warehouse testing, and automation for QA Engineers.
Created byPrakash Mallik
Last updated 12/2025
English

What you'll learn

  • Master the end-to-end ETL Testing lifecycle, from data sourcing and transformation logic validation to final loading into Data Warehouses.
  • : Perform advanced SQL queries for data validation, including joins, aggregations, and minus queries to identify data mismatches efficiently.
  • Identify and resolve common data quality issues such as duplicates, null values, and schema mismatches using industry-standard testing techniques.
  • Automate data validation processes and create comprehensive test plans, test cases, and defect reports specific to big data environments.

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Included in This Course

600 questions

  • Practice Test 1100 questions
  • Practice Test 2100 questions
  • Practice Test 3100 questions
  • Practice Test 4100 questions
  • Practice Test 5100 questions
  • Practice Test 6100 questions

Description

Become an Expert in Data Validation and ETL Testing

In today’s data-driven world, the integrity of information is the backbone of every successful business. As companies move massive amounts of data into warehouses, the demand for ETL Testing Professionals has reached an all-time high. This comprehensive course is designed to take you from a beginner to a confident Data QA Engineer.

Why This Course? Unlike standard manual testing, ETL (Extract, Transform, Load) testing requires a unique blend of database knowledge and analytical skills. This course provides a deep dive into the architecture of Data Warehouses and the specific techniques used to ensure data remains accurate, complete, and valid throughout the transformation process.

What You Will Master:

  • The ETL Lifecycle: Understand how data moves from source systems to target warehouses.

  • Advanced SQL for Testers: Learn to write complex queries, including Joins, Subqueries, and Minus operators specifically for data comparison.

  • Data Mapping & Validation: Master the art of checking transformation rules against business requirements.

  • Real-World Scenarios: Work through practical exercises involving duplicate checks, null validations, and schema testing.

  • Reporting & Defects: Learn how to document data bugs and communicate effectively with data developers.

Who Should Enroll? Whether you are a Manual Tester looking to double your salary by moving into Big Data, or a fresh graduate aiming for a career in Data Science, this course provides the roadmap you need. You will finish this course not just with theoretical knowledge, but with the practical skills required to pass interviews and excel on the job.

Enroll today and start your journey into the high-paying world of Data Quality Engineering!

Who this course is for:

  • Aspiring QA Engineers, Manual Testers looking to move into Big Data/Data Warehousing, and Data Analysts who want to ensure data integrity and accuracy.

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