Learn ETL Testing & Data Warehouse fundamentals

A hands-on tutorial that takes you from the ground up and gives you a solid understanding of Data Warehouse and ETL Testing concepts.

What will you learn from this course?

• Learn why and where ETL is required with a real-time business problem.
• Understand the fundamentals of Data Warehousing and common data models such as Star Schema.
• Gain a complete architectural overview of how ETL works with a Data Warehouse.
• Get an overview of popular ETL tools used in the industry.
• Build a real-time ETL project from scratch using Pentaho Data Integration (PDI) tool.
• Understand the scope of ETL testing at each layer of the pipeline with practical examples.
• Learn how to build ETL test scenarios and validate them using SQL queries.
• Write test cases for advanced concepts such as Slowly Changing Dimensions (SCDs).
• Explore Cloud Data Warehouses and how ETL/ELT fits in modern data stacks.
• Understand the differences between ETL vs ELT and where each is applicable.
• Discover the critical role of ETL data quality testing in training Large Language Models (LLMs) — ensuring reliable and accurate data pipelines is a key foundation for any AI/ML system.
• Learn how bad data quality can lead to hallucinations, bias, and inaccurate results in LLM outputs, and why robust ETL testing is crucial before model ingestion.

Prerequisites:

• Basic knowledge of SQL (Insert, Update, Delete).
• Core SQL concepts such as Joins, Group By, and Subqueries are used frequently in ETL test scenarios.
• A refresher on these SQL topics is available in the last section of the course — recommended for those who need it.

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