Data warehouse qa testing

  • How do you validate a data warehouse?

    In system testing, the whole data warehouse application is tested together.
    The purpose of system testing is to check whether the entire system works correctly together or not.
    System testing is performed by the testing team..

  • What is ETL QA testing?

    ETL in testing means an extract, transform and load process that reads data from multiple source systems, transports it to a data transformation layer for further processing which includes cleaning, consolidating, integrating, and then loading into a target database or file..

  • What is the ETL process in QA?

    ETL testing is a process that verifies that the data coming from source systems has been extracted completely, transferred correctly, and loaded in the appropriate format — effectively letting you know if you have high data quality.
    It will identify duplicate data or data loss and any missing or incorrect data..

What is data warehouse testing & validation?

It involves verifying the data extraction, transformation, and loading (ETL) processes, the data models, the data integrity, and the performance of the data warehouse

In this article, you will learn how to implement data warehouse testing and validation using some best practices and tools


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