![]() This is because they help to cleanse and transform the data into a format that is usable by the business. Finally, ETL tools help to improve the quality of data.This reduces the time and effort required to manually perform these tasks. Fourthly, ETL tools help to automate the entire process of data extraction, transformation, and loading.The data can then be used for further analysis or operational purposes. This can be a data warehouse, a data mart, or even a relational database. Thirdly, ETL tools help to load the data into the target destination.This includes cleansing the data, normalizing it, and aggregating it as per the requirements. Secondly, ETL tools help to transform the data into a format that is usable by the business.This makes it easier for businesses to access and use the data. Firstly, it helps to consolidate multiple data sources into a single repository. Why Do We Use ETL Tools? There are several reasons why businesses use ETL: Finally, the data is loaded into the target destination. ![]() The data is then transformed into a format that can be used by the business. These sources can be in the form of databases, flat files, or even streaming data. The extract phase involves extracting data from multiple sources. It is a process of extracting data from multiple sources, transforming it into a usable format, and then loading it into a destination where it can be used for further analysis or operational purposes. ![]() ETL stands for Extract, Transform, and Load. We have explained in brief about ETL in the introduction. ![]()
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