Etl (Extract, Transform, Load) is the process that transform function works with acquired data. Extract, Transform, Load are three database functions, combined into one tool to pull data out of one database and place it into another database. ETL tools are useful long after you've loaded your information into a warehouse or database because they so effectively store, update and manage your information.
With the use of ETL software tools you can save your organization time and money in terms of increased productivity. Let us briefly describe each step of the ETL process.
Extraction: Extraction refers to Extracting data from different internal and external, structured and unstructured source. The main function of the extraction is to convert all data into a specific format for transformation processing.
Transform: Transform process is a set of rules that transform the data from the source to the target. With the transform process it becomes very easy to merge tables, filter and sort the data using specific attributes. Transformation also requires joining data from several sources deriving new calculated values, and applying advanced validation rules.
Loading: The process of loading referred to as data integration process. Loading manages processes like data migration, data consolidation, data synchronization and data cleansing. In order to make the load process efficient, it is helpful to disable any constraints and indexes before the load and enable them back only after the load completes.
With the use of ETL software tools you can save your organization time and money in terms of increased productivity. Let us briefly describe each step of the ETL process.
Extraction: Extraction refers to Extracting data from different internal and external, structured and unstructured source. The main function of the extraction is to convert all data into a specific format for transformation processing.
Transform: Transform process is a set of rules that transform the data from the source to the target. With the transform process it becomes very easy to merge tables, filter and sort the data using specific attributes. Transformation also requires joining data from several sources deriving new calculated values, and applying advanced validation rules.
Loading: The process of loading referred to as data integration process. Loading manages processes like data migration, data consolidation, data synchronization and data cleansing. In order to make the load process efficient, it is helpful to disable any constraints and indexes before the load and enable them back only after the load completes.
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