What you'll 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
Learn the essentials of ETL Data Warehouse Testing and Data Quality Managementthrough thisstep-by-step tutorial. This course takes you through the basics of ETL testing, frequently used Data Quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for Data Quality monitoring and build Data Quality visualizations and reports!
..Learn to build data quality dashboards from scratch!
..Learn some of the most common mistakes made when performing ETL/ELT tests..
..Forget about manual ad-hoc ETL testing, learn more about automated ETL and data quality reports
The course containstraining materials,where you can practice,apply your knowledge and build an appfrom scratch. The training materialsare provided in an Excel file that you can download to your computer. Each module also ends with a short quiz and there is a final quiz at the end of the course.
After completion of this course, you will receive acertificateof completion.
Good luck and hope you enjoy the course.
Pre-requisites:
Basic knowledge of SQL
Some experience with Visualization tools would be helpful, but not required
Basic setup of database (PostgreSQL, Oracle) and visualization tool (Qliksense) is recommended
Course content:
The course consists of the following modules:
Introduction
What is ETL/ELT Testing and Data Quality Management?
Build database views for Data Quality Monitoring
Build dashboards for Reporting
Exercises
Final Quiz
Who should follow this course?
Students that want to learn the basics of ETL/ELT testing and Data Quality Management
Business Analysts and Data Analysts that would like to learn more about ETL/ELT testing, frequently used queries and practical examples
Software Engineers that would like to build an automated solution for ETL/ELT testing using database views/dashboards
Data Stewards and Managers considering to apply data quality standards within their organization
