ETL

ETL

NISHI KUMARI NISHI KUMARI

NISHI KUMARI

Associate Project Manager @ HuQuo

发布日期: 2021年10月21日
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ETL?stands for?Extract Transform and Load. ETL combines all the three database function into one tool to fetch data from one database and place it into another database.

Extract: Extract is the process of fetching (reading) the information from the database. At this stage, data is collected from multiple or different types of sources.

Transform: Transform?is the process of converting the extracted data from its previous form into the required form. Data can be placed into another database. Transformation can occur by using rules or lookup tables or by combining the data with other data.

Load: Load is the process of writing the data into the target database.

ETL?is used to integrate the data with the help of three steps?Extract, Transform , and Load it is used to blend the data from multiple sources. It is often used to build a?data warehouse.

In the ETL process, data is extracted from the source system and convert into a format that can be examined and stored into a?data warehouse or any other system. ETL is an alternate but a related approach which is designed to push processing down to database to improve the performance.

Need of ETL:

  • ETL helps the companies to analyze their business data for making critical business decisions.
  • Data warehouse provides a shared data repository.
  • ETL provides a method of moving data from various sources into a data warehouse.
  • As the data sources change, the data warehouse will automatically update.
  • Well-designed and documented ETL system is essential for the success of the data warehouse project.



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