By the end of this course, learners will be able to analyze ETL architectures, apply data validation techniques, design effective ETL test cases, and verify aggregated and consolidated retail data across multiple ETL layers. They will gain hands-on experience validating pricing logic, store-level consolidation, and business-ready data used for reporting and analytics.
Apply ETL Testing Techniques for Retail Data Pipelines
Gain insight into a topic and learn the fundamentals.
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Analyze ETL architectures and identify validation checkpoints.
Design ETL test cases to verify transformations and aggregations.
Validate retail pricing and consolidated data across ETL layers.
Details to know
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Recently updated!
February 2026
Assessments
8 assignments
Taught in English
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There are 2 modules in this course
This module introduces learners to the fundamentals of ETL testing within a retail data environment, covering project context, ETL architecture, table creation, target statistics, mapping design, workflow execution, and the basics of ETL test case development and data aggregation.
What's included
9 videos4 assignments
This module focuses on advanced ETL testing practices, including pricing validation, multi-store data consolidation, query-based data verification, aggregated data storage checks, and end-to-end validation across middle and final ETL layers for retail analytics.
What's included
8 videos4 assignments
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