ETL processes are an essential part of data integration and processing. They play an important role in the creation and operation of data warehouses, for example. They are also intended to ensure the quality and reliability of data. The process steps are
Extract: Collecting data from various sources such as sources such as databases, files or other IT systems. Definition of connection types and transmission types as well as the time sequences in which data is updated.
Transform: Conversion and cleansing of the extracted data into a standardized format. This should be suitable for analysis or further use. Incorrect or incomplete data is corrected, data types are adapted and redundant data is removed.
Load: Integration of the transformed data into a target system (e.g. a data warehouse) or a central database.