Changing the format, structure, or value of data takes place in which phase of the data pipeline?

In the context of data processing, the transformation phase refers to the step where the data is modified or manipulated in some way to make it more usable for analysis or downstream applications. This can include tasks such as data cleaning, normalization, aggregation, and enrichment. The transformation phase is typically performed after the data has been ingested and stored in a data warehouse or other storage system, but before it is used for analysis or fed into other applications. The goal of this phase is to prepare the data so that it is in a format and structure that is most appropriate for the specific analysis or application use case.