Data warehouse testing is a testing technique in which the data placed inside a data warehouse is tested for accuracy, integrity, reliability, and consistency in accordance with the company’s data framework.Data warehouse testingaims to ensure that the data that is integrated inside the data warehouse is reliable enough to make the best decisions for company benefits.
Three basic testing levels like unit testing, Integration, system testing with data warehouse testing checklists are crucial for making data warehouse systems efficient and running them correctly.
Data Warehouse Testing Challenges
The process of data warehouse testing is very different from the app testing as it requires a data-centric testing approach while testing. Programmers who face various challenges are as follow:
Data warehouse testing depends upon the availability of test data and requires several test scenarios.
In data warehouse testing, sometimes it is essential to compare large volumes of data with millions of records.
Data should be collected from heterogeneous data sources for comparisons such as flat files and databases.
Data is always converted, and it may require complicated SQL queries to compare.
BI tools such as Cognos, OBIEE, Business Objects, and Tableau produce reports on the fly based on a metadata model. Performing testing with numerous combinations of attributes and measures is very challenging.
A huge volume of reports and data make it very challenging to test for functionality, stress, and regression.
ETL testing is done to make sure that the data which is loaded from source to the destination after the business transformation is accurate. In this type of testing, information is verified at various stages between the source and target destination.
Importance of ETL Testing For Businesses
ETL testing assists in the procedure of verification, qualifying data and validation by avoiding information loss and duplicate records.
ETL testing confluences information from various resources and morphs the data into a format that can be effective. Additionally, this permits the operator to access the data with ease from one interface itself, further reducing the dependability on your IT Team.
Besides validating the information, ETL Testing assists to create, monitor, and affirm the migrated/integrated information, data profiling, the data sources, data quality and meets the standards of data transformation rules and Performance Acceptance Criteria.
Things To Look When You Are Hiring ETL Tester
To test and execute all the backend driven data
Create, design and implement test cases, test plans, and test harness
Approve requirements and design specifications
Identify the issues and provide solutions for potential problems