ETL Testing

ETL/Data warehouse testing
A solid understanding of data modeling provides testing teams with information to develop the right testing strategy. During the analysis phase, our testing team will learn and understand the different stages of the data warehouse implementation including but not limited to:
Source data profiling
Data warehouse design
ETL development
Data loading and transformations

Our Strategy :
A data warehouse implementation must include end-to-end testing. Our QA team will test initial and incremental loads for the entire ETL process beginning with identifying source data to report and portal functions. They will also test each point between extract and load, including data load from the source extract to staging, staging to transformation and once the data reaches the data warehouse, test data extraction for display and reporting.
With traditional ETL test planning, there are six phases:
1. Understanding business requirements/analysis
2. Creating test plans and estimating time to completion
3. Designing test cases and selecting test data
4. Executing tests with bug reporting and closure
5. Report summary and analysis
6. Test completion

ETL testing is performed in five stages:
1. Identifying data sources and requirements
2. Data acquisition
3. Implement business logic and Dimensional Modeling
4. Build and populate data
5. Build Reports

Common ETL testing Types:
Organizations use data warehouse testing to ensure that required business functions are implemented correctly. This phase includes data verification, which tests the quality of data populated into target tables.
Metadata Testing
Data Completeness Testing
Data Quality Testing
Data Transformation Testing
ETL Regression Testing
Incremental ETL Testing
ETL Integration Testing
ETL Performance Testing

Testing data and systems systematically for inconsistencies before moving into production is necessary if the data warehouse is to be the central source of business information. Whether it is a newly built data warehouse or the consolidation of several, we will develop a thorough data warehouse testing process to help you test for, resolve, and prevent unnecessary exposure.