ETL – Extract, Transform, Load
ETL is a process used in data warehousing to extract data from different sources, transform it into a consistent format, and load it into a data warehouse for analysis and reporting.
The process of ETL involves three main steps:
- Extract: Data is extracted from various sources such as databases, flat files, and APIs.
- Transform: The extracted data is transformed into a format that is suitable for analysis. This may involve cleaning, filtering, and aggregating the data.
- Load: The transformed data is loaded into a data warehouse or data mart where it can be used for reporting and analysis.
ETL is essential for businesses that need to analyze and report on large volumes of data from multiple sources. It helps to ensure that the data is accurate, consistent, and up-to-date.
For more information on ETL, you can visit the Wikipedia page.