ETL stands for Extract, Transform and Load. It is a data extraction process that extracts data from one source and transforms it into a format that can be stored in another system. The new system must be able to read the data in a standard way. ETL can be used to bring data from multiple sources into a single database or application.
It is a common approach to migrate data from an existing system into a new one. This process is often automated, but it may include manual steps as well. ETL Meaning involves taking data in one form and converting it into another form. These processes can include cleansing, cleansing, transformation, and loading (cleaning, transforming, and loading).
The ETL Process Overview
Data extraction involves pulling data from one source and then putting it into another system. This could mean pulling information from an online database or exporting it from a spreadsheet to CSV file format.
Data transformation is the process of converting the information from its original source format into another format that can be read by the new system. Data loading is when the transformed data is loaded into the new system.
