ETLEL

ETLEL is a term that refers to Extract, Transform, Load, and Extract again. It is a variation on the traditional Extract, Transform, Load (ETL) process used in data warehousing and data integration. The core concept of ETL involves taking data from one or more sources, cleaning and transforming it into a usable format, and then loading it into a target system, typically a data warehouse or database.

The addition of a second "Extract" phase in ETLEL signifies a scenario where data is extracted, transformed, and loaded, and then subsequently extracted again from the target system for further processing or analysis. This might occur when a data warehouse is used as an intermediate staging area for data that will then be fed into other analytical tools, reporting systems, or even back into operational applications.

This extended process allows for a more complex data pipeline where intermediate transformations or aggregations can be performed in the target system before the data is finalized or redistributed. It can be useful for scenarios requiring layered data processing, sophisticated business intelligence, or when integrating data from multiple sources into a unified view that then needs to be consumable by various downstream applications. The specific reasons for employing an ETLEL process depend heavily on the architectural requirements and the desired outcomes of the data integration project.