Learn ETL Testing & Data Warehouse fundamentals

<div>A hands-on tutorial that takes you from the ground up and gives you a solid understanding of Data Warehouse and ETL Testing concepts.</div><div><br></div><div>What will you learn from this course?</div><div><ul><li><span style="font-size: 1rem;">Learn why and where ETL is required with a real-time business problem.</span></li><li><span style="font-size: 1rem;">Understand the fundamentals of Data Warehousing and common data models such as Star Schema.</span></li><li><span style="font-size: 1rem;">Gain a complete architectural overview of how ETL works with a Data Warehouse.</span></li><li><span style="font-size: 1rem;">Get an overview of popular ETL tools used in the industry.</span></li><li><span style="font-size: 1rem;">Build a real-time ETL project from scratch using Pentaho Data Integration (PDI) tool.</span></li><li><span style="font-size: 1rem;">Understand the scope of ETL testing at each layer of the pipeline with practical examples.</span></li><li><span style="font-size: 1rem;">Learn how to build ETL test scenarios and validate them using SQL queries.</span></li><li><span style="font-size: 1rem;">Write test cases for advanced concepts such as Slowly Changing Dimensions (SCDs).</span></li><li><span style="font-size: 1rem;">Explore Cloud Data Warehouses and how ETL/ELT fits in modern data stacks.</span></li><li><span style="font-size: 1rem;">Understand the differences between ETL vs ELT and where each is applicable.</span></li><li><span style="font-size: 1rem;">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.</span></li><li><span style="font-size: 1rem;">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.</span></li></ul></div>

What you'll learn:

• Understand ETL & Data Warehouse fundamentals with real-world business case examples.
• Build a complete ETL pipeline using Pentaho Data Integration from scratch.
• Design effective ETL test scenarios using SQL queries for data quality validation.
• Understand the scope of ETL testing at each layer of the pipeline with practical examples
• Learn Slowly Changing Dimensions and how to test them in ETL workflows.
• Explore ETL vs ELT architectures and when to use each in modern data stacks.
• Discover why data quality testing is critical before using data to train LLMs and AI models.