ETL Testing

This project-driven course transforms you into a skilled ETL/Data Warehouse Tester. You’ll learn data warehousing concepts, hands-on SQL, ETL workflow validation, data migration, reconciliation, BI testing, and defect tracking. The course includes real-time scenarios with tools like Informatica, Talend, SSIS, and reporting validation using Power BI/Tableau.

Tech Stack Covered :
Programming & Query Language:
SQL (Structured Query Language)
Master SQL queries for data validation, joins, aggregations, subqueries, and complex data comparisons for ETL pipelines.

ETL Testing Concepts:
Data Warehousing Basics
Understand key DWH concepts – star/snowflake schemas, facts, dimensions, staging vs target layers.

ETL Testing Lifecycle
Cover end-to-end ETL test stages: requirements, test planning, test case design, data mapping, execution, and validation.

Data Comparison & Reconciliation
Use SQL scripts or tools to compare source vs target data for completeness and transformation accuracy.

Tools & Frameworks:
ETL Tools (Exposure):

Informatica

Talend

SSIS (SQL Server Integration Services)
Hands-on exposure to workflows, jobs, and testing data pipelines in enterprise environments.

Reporting Tools (Validation Focus):

Power BI

Tableau
Learn how to validate report outputs against source data and ensure correct metrics/aggregations.

Automation (Optional Module):

Python + Pandas – For advanced data validation scripting and automation.

Selenium (basic) – To automate report UI validation.

Test Management & CI/CD:
JIRA – Bug tracking and test cycle management.

Git & GitHub – Version control and collaborative test script sharing.

Jenkins (Optional) – Schedule and run automated data tests.

Excel – Test data management, SQL result comparison, and reporting.

DBeaver / SQL Developer / SSMS – Database IDEs for writing and validating SQL queries.