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- Extract, transform and loadETL is an acronym for extract, transform and load, which is a data integration process that combines data from multiple sources into a single data store1. ETL is often used in data warehousing to copy data from different systems and transform it into a consistent format that can be used for analysis21. ETL involves extracting data from the source (s), applying transformations to modify or enrich the data, and loading the data into the destination system21.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.www.ibm.com/topics/etl
In computing, extract, transform, load ( ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source (s) or in a different context than the source (s). The ETL process became a popular concept in the 1970s and is often used in data warehousing.
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