An Azure service for ingesting, preparing, and transforming data at scale.
Hello @arkiboys
You can do a data validation by following steps:
1) Create External Table in DW and check if the datatypes are matching or to check if there are any NULLs in Non Nullable fields or to check the count of data etc. This check would ensure the data in the data lake is as per requirement
You can find a detail on Step 1 in this article: https://www.soais.com/adls-data-validation/
2) You can leverage ADF to perform these data checks wherein you can get the file's Metadata and then apply conditions to check if the validations pass or fail, detailed steps can be found here: https://www.altisconsulting.com/au/insights/how-to-validate-data-lake-files-using-azure-data-factory/