ETL Testing

ETL Testing Data Warehousing ETL Testing Types Interview Question Mock Test

Objectives of ETL Testing

Check for Data Quality including duplicates, nulls, mismatches, and truncations. Ensure Job Scheduling and Workflow Execution happens correctly. Automate Data Validation and Regression Testing using tools. Support Business Intelligence (BI) by ensuring clean and reliable data is available for analytics..

ETL Testing Syllabus

Check for Data Quality including duplicates, nulls, mismatches, and truncations. Ensure Job Scheduling and Workflow Execution happens correctly.

Data Warehousing and ETL - ETL Testing Life Cycle.
ETL Testing Type - Data Completeness Testing, Data Transformation Testing, Data Quality Testing, Data Reconciliation Testing, Duplicate Data Checks.
SQL for ETL Testing - Basics of SQL (SELECT, INSERT, UPDATE, DELETE), Joins, Subqueries, Aggregations (COUNT, SUM, AVG)
ETL Testing Process & Scenario - Source to Target Mapping Validation, Staging to Data Warehouse Load Validation.
ETL Testing Tools (Overview & Hands-on - Informatica PowerCenter, Talend Open Studio, SSIS (SQL Server Integration Services).
Defect Management & Reporting - Tools Used: JIRA