Transform Data

In the second step, ETL tools transform and consolidate the raw data in the staging area to prepare it for the target data warehouse. The data transformation phase is normally the most complex and prone to errors, as it can involved multiple transformations, including basic data cleaning operations, deduplication, cata casting, filtering, grouping, encrypting, and many more.