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Apply ETL Testing Techniques for Retail Data Pipelines

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Apply ETL Testing Techniques for Retail Data Pipelines

Instructor: EDUCBA

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

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.

Skills you'll gain

Tools you'll learn

Query Languages

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There are 2 modules in this course

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.

This course is designed to help learners build practical, job-ready ETL testing skills using a real-world retail chain data scenario. Rather than focusing on theory alone, the course walks learners through the entire ETL testing lifecycle—from understanding architecture and creating target tables to validating transformations, aggregation logic, and final data layers. What makes this course unique is its project-driven approach, which mirrors how ETL testing is performed in enterprise retail environments. Learners practice validating multi-store data, pricing calculations, and layered ETL outputs using realistic workflows, queries, and test cases. This course is ideal for aspiring data testers, QA professionals, and data analysts who want to strengthen their skills in ETL testing, data quality assurance, and retail analytics validation, making them more confident and competitive in data-focused roles.

Module details

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

9 videosTotal 60 minutes

Introduction to Project5 minutes
Architecture7 minutes
Create Table6 minutes
Target Statistics6 minutes
Mapping Designer8 minutes
Workflow2 minutes
Test Case7 minutes
Test Case Continue7 minutes
Aggregated Data12 minutes

4 assignmentsTotal 60 minutes

ETL Foundations & Retail Data Pipeline Setup30 minutes
Project Overview & ETL Architecture10 minutes
Target Design & ETL Development10 minutes
Test Case Design & Data Aggregation Basics10 minutes

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.