Be a Data Quality Assurance Engineer — Build a strong foundation in ETL, Data Warehousing, and testing for data quality
Sub Category
- Software Testing
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Objectives
- 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.
Pre Requisites
- Knowledge on SQL Basics will helpful
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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