Data Warehouse ETL Testing & Data Quality Management A-Z
ETL Testing and Data Quality Management for beginners with practical exercises and certificate of completion.
4.39 (5475 reviews)
22 007
students
2 hours
content
Apr 2019
last update
$69.99
regular price
What you will learn
Understand the basics of ETL/ELT testing
The importance of Data Quality within the Data Lifecycle
Learn the different types of ETL/ELT testing and Data Quality dimensions
Design a set of frequently used ETL/ELT and Data Quality regression tests
A comparison of Data Quality tools (Informatica, Talend, Oracle, SAS)
Perform database tests using queries and build database views to automate ETL/ELT testing and Data Quality monitoring
Data Quality Management and monitoring
Setting up a database connection to your visualization tool
Build Data Quality dashboards and reports
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Our Verdict
This compact 2-hour Data Warehouse ETL Testing & Data Quality Management A-Z course delivers a strong foundation for understanding the importance of data quality within the data lifecycle. With a global rating of 4.36 and 21925 subscribers, learners appreciate its practical examples and well-structured approach. However, brace yourself for some potential obstacles: environment setup is not straightforward, audio levels could be improved, and Qlik's use as the visualization tool might not suit everyone. The course has room for improvement with more in-depth explanations, but if you're seeking an introduction or refresher on ETL testing and data quality concepts, this A-Z offering will meet your needs.
What We Liked
- Covers a wide range of data quality dimensions and ETL testing techniques with practical examples
- Well-structured course with great examples that are easy to understand and follow
- Introduces strategies for Data Quality Completeness, Uniqueness, Validity, Consistency and Integrity
- Includes a certificate of completion, beneficial for learners looking to enhance their resumes
Potential Drawbacks
- Lacks depth in explaining the concepts verbally during presentations
- Environment setup and preparation for exercises can be challenging without external research
- Visualization is performed using Qlik, which is not open-source, limiting its applicability
- Some users may find it too basic, expecting a more in-depth course on ETL and data quality
Related Topics
2089692
udemy ID
16/12/2018
course created date
23/11/2019
course indexed date
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