Validate Big Data with SQL. Master ETL lifecycles, data mapping, warehouse testing, and automation for QA Engineers.
Sub Category
- Other IT & Software
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Objectives
- 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.
Pre Requisites
- Basic knowledge of SQL and Database concepts is helpful but not mandatory; we include a "SQL for Testers" refresher to get everyone up to speed.
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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