How Do I Become a Data Warehouse Developer?
ETL is the abbreviation of English Extract-Transform-Load, which is used to describe the process of extracting, transforming, and loading data from the source to the destination. The term ETL is more commonly used in data warehouses, but its objects are not limited to data warehouses.
ETL
(Data Warehouse Technology)
- Data Warehouse (DW)
- Decision Support System (DSS)
- Online analytical processing (OLAP)
- Data mining (DM)
- Business Intelligence (BI)
- ETL is the abbreviation of English Extract-Transform-Load, which is used to describe the process of extracting, transforming, and loading data from the source to the destination. The term ETL is more commonly used
- ETL is the process of loading, cleaning, and transforming the data of business systems into the data warehouse. The purpose is to integrate the scattered, disorderly, and inconsistent data in the enterprise to provide an analytical basis for enterprise decisions. ETL is BI (Business Intelligence) An important part of the project.
- ETL describes the process. Commonly used methods include ETL or
- ETL (or ELT ) processes can be developed using any programming language. Because ETL is an extremely complex process, and handwritten programs are not easy to manage, more and more companies use tools to assist in the development of ETL and use its built-in