Which transformation is used to load data into a data store or compute resource?

The transformation used to load data into a data store or compute resource is known as ETL (Extract, Transform, Load).

Step 1: Extraction The first step in this process is the extraction of data from various sources. These sources could be databases, CRM systems, files, etc.

Step 2: Transformation The extracted data is then transformed into a format that can be analyzed. This could involve cleaning the data, validating it, or aggregating it.

Step 3: Loading The final step is loading the transformed data into a data store or compute resource. This could be a data warehouse, a data lake, or a database.

This ETL process is a fundamental aspect of data handling and is crucial in data warehousing environments.