The ELT (Extract, Transform, and Load) approach matches the reality of data needs that rapidly change. Because the ELT process transforms data after it has been loaded, it is not necessary to know in-advance exactly how the data will be used – new transformations can be performed on the raw data as the need arises. Furthermore, analysts can always access the original raw data, as subsequent transformations will not have compromised its integrity. This gives analysts autonomy from data engineers, since it is not necessary to modify ingest pipelines in order to transform the data in a new way. If a raw and unmodified version of the data exists in the destination, it can be re-transformed in the future without the need for a resync of data from source systems.
For the full post see: https://airbyte.com/blog/elt-pipeline
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