Data Warehouse ETL Testing & Data Quality Management A-Z
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Brief Introduction
ETL Testing and Data Quality Management for beginners with practical exercises and certificate of completion.Description
Learn the essentials of ETL Data Warehouse Testing and Data Quality Management through this step-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 contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are 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 a certificate of 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
Requirements
- Requirements
- Some basic knowledge of SQL
- Some basic knowledge of visualization tools is recommended, but not required
- Database setup (PostgreSQL, Oracle, SQL Server etc.) is recommended
- Visualization setup (Qlik, Spotfire, Microstrategy, Tableau, PowerBI etc.) is recommended
Learn Data Warehouse and ODI 11g - Step by Step Guide
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Find out how to create and manage Data warehouse and ETL life cycle with ODI Would you like to be a data warehouse expert with Independent...
Data Warehouse ETL Testing & Data Quality Management A-Z
- 0.0
-
![]()
![]()
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ETL Testing and Data Quality Management for beginners with practical exercises and certificate of completion. Learn the essentials of ETL Data Warehouse Testing and Data Quality Management through this step-by-step tutorial....
