ETL is used for extract, transform, and load and it is used to enable the business models to consolidate their data that is moving from place to place and it allows the saving of the data in different forms and different formats. The data can be used from any source and can be included by any source that is defined. It is a powerful method to handle the data disparities and other problems that are related to the data.

There are few steps that are involved in using the function of ETL and it is as follows:

The extract function reads the data from the source that is given and stores the extracted information in the database of the path that is given.

The transformation of the data occurs that is done through some rules keeping the lookup tables to see the combination of the data that is getting formed and the transformed data are arranged and kept in order of the choice that is made while transforming it.

The load function is used load the data to the database or the user location where it needs to be located and then the resulting data is to be loaded to the target location.