ETL usually stands for extract, transform, load – three prior database functions that can be united into one tool to pull data out of one database and put it into another one. It is also one of the most common types of tasks linked to data processing that can be automated by the RPA.
- The extract is the process of reading data from a database. In this stage, the data is collected, often from multiple and different types of sources.
- The transform is the process of converting the extracted information into a different form, which is more suitable for the ‘destination’ database. Transformation occurs by using specific rules or by linking new information with existing data.
- The load is the final process of writing the data into the target database.
How ETL Works
First, data gathered from one or several sources is extracted and copied to the data warehouse. When dealing with large volumes of data and multiple source systems, the input is consolidated.
ETL is used to migrate data from one database to another, which is crucial, for example, in Marketing activities, Human Resources workflow, and managing reports. To load a vast amount of data to and from data repositories, sometimes, the specific process is required. Here you have to convert (transform) databases from one format or type to another to load information faster and more accurately.
To learn more about ETL processes, reach out to our automation experts.