ETL Testing Course Overview

The ETL Testing course offers a comprehensive understanding of the testing processes involved in ensuring the quality of data integration, transformation, and loading. Primarily aimed at professionals in the field of data warehousing and business intelligence, the course equips learners with the skills needed to validate and verify data from various sources.

Module 1 sets the foundation by introducing ETL testing, exploring the lifecycle of ETL processes, and reinforcing database concepts, emphasizing the significance of ETL in Business Intelligence. It also covers the differences between OLTP and OLAP systems and the role of data warehousing.

In Module 2, the focus shifts to database and data warehousing testing, explaining RDBMS and relational database concepts while highlighting the unique aspects of data warehousing testing.

Module 3 dives deep into ETL testing scenarios, covering the data warehouse workflow, ETL mapping, and techniques for detecting data mismatches and losses.

Module 4 addresses the correctness, completeness, quality, and data validation aspects of ETL testing, including structure and constraint validation and negative testing approaches.

Module 5 empowers learners to perform data checks using SQL, offering insights into database structures and the utilization of SQL scripts for testing.

Lastly, Module 6 explores reports and cube testing, outlining the scope of Business Intelligence testing to ensure that reports accurately reflect data.

This course will be instrumental in helping learners master the art of ETL testing, thereby enhancing their capabilities in maintaining data integrity and quality in complex data environments.