| File Name: | Learn ETL Testing & Data Warehouse fundamentals |
| Content Source: | https://www.udemy.com/course/etl-testing-data-warehouse-fundamentals/ |
| Genre / Category: | Programming |
| File Size : | 6 GB |
| Publisher: | udemy |
| Updated and Published: | June 08, 2025 |
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.
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.
Who this course is for:
- Software Testers
- Data Engineers
- ETL Testers
- Business Intelligence (BI) Professionals
DOWNLOAD LINK: Learn ETL Testing & Data Warehouse fundamentals
Learn_ETL_Testing___Data_Warehouse_fundamentals.part1.rar – 1.5 GB
Learn_ETL_Testing___Data_Warehouse_fundamentals.part2.rar – 1.5 GB
Learn_ETL_Testing___Data_Warehouse_fundamentals.part3.rar – 1.5 GB
Learn_ETL_Testing___Data_Warehouse_fundamentals.part4.rar – 1.5 GB
Learn_ETL_Testing___Data_Warehouse_fundamentals.part5.rar – 63.3 MB
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