What is the process used to combine different sources of data? Extract, Refresh, Transform, Load
ETL stands for Extract, Transform and Load, which is a process used to collect data from various sources, transform the data depending on business rules/needs and load the data into a destination database. ETL comes from Data Warehousing and stands for Extract-Transform-Load. ETL covers a process of how the data are loaded from the source system to the data warehouse. Currently, the ETL encompasses a cleaning step as a separate step. Extract, Transform and Load or ETL is a standard information management term used to describe a process for the movement and transformation of data. ETL is commonly used to populate data warehouses and datamarts, and for data migration, data integration and business intelligence initiatives. ETL comes from Data Warehousing and stands for Extract-Transform-Load. ETL covers a process of how the data are loaded from the source system to the data warehouse. Currently, the ETL encompasses a cleaning step as a separate step. The sequence is then Extract-Clean-Transform-Load. ETL covers a process of how the data are loaded from the source system to the data warehouse. Currently, the ETL encompasses a cleaning step as a separate step. The sequence is then Extract-Clean-Transform-Load. Let us briefly describe each step of the ETL process. ETL covers a process of how the data are loaded from the source system to the data warehouse. Currently, the ETL encompasses a cleaning step as a separate step. The sequence is then Extract-Clean-Transform-Load. Extract The first step in the ETL process is extracting the data from various sources. Each of the source systems may store its data in completely different format from the rest. The sources are usually flat files or RDBMS, but almost any data storage can be used as a source for an ETL process. ETL Defined. Extract, Transform and Load or ETL is a standard information management term used to describe a process for the movement and transformation of data. ETL is commonly used to populate data warehouses and datamarts, and for data migration, data integration and business intelligence initiatives. Extract, Transform and Load or ETL is a standard information management term used to describe a process for the movement and transformation of data.  Extract -- the process of reading data from a specified source database and extracting a desired subset of data.  Transform -- the process of converting the extracted/ acquired data from its previous form into the form it needs to be in so that it can be placed into another database.
Extract, Transform and Load(ETL).