Data Warehouse Testing

  • Can ETL Validator help compare data from multiple sources?
  • Does ETL Validator support Continuous Integration?
  • Is there any way to schedule tests and receive email notification?
  • Is there reporting available for Test Runs?
  • What is File Watcher?
  • What if my data source is not supported by ETL Validator?
  • Is there a free trial available for ETL Validator?
  • What is a repository and workschema? what databases are supported as repository?
  • What are the Architectural components of ETL Validator?
  • What are the System Requirements for doing a pilot?
  • Can ETL Validator help compare data from multiple sources?
  • Does ETL Validator support Continuous Integration?
  • Is there any way to schedule tests and receive email notification?
  • Is there reporting available for Test Runs?
  • What is File Watcher?
  • What if my data source is not supported by ETL Validator?
  • Is there a free trial available for ETL Validator?
  • What is a repository and workschema? what databases are supported as repository?
  • What are the Architectural components of ETL Validator?
  • What are the System Requirements for doing a pilot?

What is Data Warehouse testing?

Data Warehouse testing also known as dwh testing is a process of building and executing the data test case strategies to ensure that all comprehensive data in the warehouse has integrity and is reliable, accurate, and consistent within the organization’s data framework. Primarily used to validate the reliability of analytical data within an organization, ensuring the trustworthiness of its overall business insights.

DWH testing is not a simple testing process, it completely checks the data pipelines, when the data is in ETL process operations. ETL testing and data validation process are intermediate stages, it will process the data time issues and resolve them quickly. In data warehouse testing, the scope extends to BI reports and dashboards. It encompasses the ETL testing stages from the data warehouse to data marts, with data validation ensuring the quality of data post-completion of ETL testing operations. in this data warehouse testing strategies encompass both ETL testing and BI Testing.

What is Data Warehouse Testing Tools?​

Data Warehouse Testing tools (DWH testing tools) are specialized for data-centric systems, aiming to automate testing and certification processes in data warehousing. These tools play a crucial role during the development phase of the data warehouse.

Datagaps DataOps Suite: Datagaps DataOps Suite is a comprehensive solution for data warehousing testing. It proficiently tests both data processes and data within a Data Warehouse. Now, let’s delve into the Modern Data Warehouse Testing Scenario.

End to End Data Testing Automation

Challenges in Data Warehouse Testing

Data Warehouse Testing is different from application testing because it requires a data centric testing approach. Some of the challenges in Data Warehouse Testing are:
  1. Data Warehouse testing involves comparing of large volumes of data typically millions of records.
  2. Data that needs to be compared can be in heterogeneous data sources such as databases, flat files etc.
  3. Data is often transformed which might require complex SQL queries for comparing the data.
  4. Data Warehouse testing is very much dependent on the availability of test data with different test scenarios.
  5. BI tools such as OBIEE, Cognos, Business Objects and Tableau generate reports on the fly based on a metadata model. Testing various combinations of attributes and measures can be a huge challenge.
  6. The volume of the reports and the data can also make it very challenging to test these reports for regression, stress and functionality.

Although there are slight variations in the type of tests that need to be executed for each project, below are the most common types of tests that need to be done for ETL Testing using any automated ETL Testing Tools.

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Data Warehouse Testing Categories

A Data-centric testing approach for ETL Testing and BI Testing.

ETL Testing Concepts

Basics of ETL testing in a Data Warehouse along with samples SQL Queries.

BI Testing Concepts

Basics of BI Testing Functionality, Regression, Security & Performance of Reports.

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Data Quality

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

Synthetic Data

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

ETL Testing

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

BI Validation

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.
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DataOps Suite

End-to-End Data Testing Automation

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ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

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BI Validator

Automate functional regression & performance testing of BI reports

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DQ Monitor

Monitor quality of data being Ingested or at rest using DQ rules & AI

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Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

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