ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources and involves pulling data from various sources, standardizing it, and moving it into a central database, data lake, data warehouse, or data store for further analyses.

The ETL process takes structured or unstructured data from multiple sources and processes it to a format that your teams can readily understand and use daily.

It’s often used to build a data warehouse. During this process, data is taken from a source system, converted into a format that can be analyzed, and stored into a data warehouse or other system. Extract, load, transform (ELT) is an alternate but related approach designed to push processing down to the database for improved performance.

Here’s how ETL Service is :

• Data Integration
• End-to-End Security
• Managed Schema Changes
• Mapping Made Easy