The first ETL process is the extraction or cleansing of data from its original systems (data sources or operational systems).
At this stage, this data is extract. and transferr. to a Data Warehouse environment, where it can be work. on by the ETL system independently.
Transformation
During the second part of the ETL process, data is transform. and adjust. as ne…
Different rules can be assign. to these data that will help improve their quality.
One of the purposes of this step is to combine data from different sources, so that they can be sent to the same system, even if they come from different systems.
Data loading
Finally, the last ETL process consists of loading the transform. data, that is, delivering the consolidat. data to the target system.
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What is the purpose of ETL systems?
ETL systems are intend. to integrate data generat. by different systems.
That is, the function of dataset ETL systems is to extract data from different sources, transform them so that they can be consolidat. and send them to a Data Warehouse or Data Mart (data subset of a Data Warehouse).
How important is ETL? or cleansingor cleansing
Knowing what ETL is, it is understood that it is a system that helps consolidate data that can serve as a basis for decision making .
When using an ETL system with a data warehouse, it is possible to have a complete history of all the data that was monthly recurring revenue (mrr) generat. by a company.
ETL also contributes to the creation and production of reports relevant to the strategic planning of a business, as it provides a broad and consolidat. view of everything that has been generat..
How to use ETL?
To understand what ETL is, it is also america email necessary to know how this system is us..
ETL works in conjunction with other data integration and management tools, such as Data Governance and Data Quality.
From an application perspective, ETL systems are us. in the following ways: