What is ETL-processen?

ETL processes (Extract, Transform, Load) are a type of data integration that refers to the three phases involved in combining data from multiple sources into a single, consistent data store, such as a data warehouse or data lake. * **Extract:** The process of reading data from various source systems. This can include databases, flat files, APIs, and other data sources. The data is often extracted in a raw format. * **Transform:** The process of converting the extracted data into a consistent and usable format. This may involve cleaning the data, applying business rules, filtering, aggregating, and enriching the data. * **Load:** The process of writing the transformed data into the target data store. This might involve initial loading of all the data or incremental loads of new or updated data. ETL processes are commonly used for business intelligence, data warehousing, data migration, and other data-driven initiatives, providing a consolidated view of data for reporting and analysis. ETL tools are software applications designed to facilitate the design, development, and execution of ETL processes.