The Functions of the ETL Tool for AWS

Amazon Web Service (AWS) is a platform based in the cloud, providing a host of services like high computing facilities and unlimited storage capabilities. But the most critical service is facilitating database migration between on-premises systems to the cloud, one cloud provider to another, relational databases, and data warehouses. The most optimized method for migrating databases is using the ETL tool for AWS.


ETL is short for Extract, Transform, Load. It is mainly used to combine several databases into a centralized storage repository or a data warehouse. The ETL tool for AWS has three functions. The first is extracting data from a source database, then transforming the data so that the structure of the source database matches that of the target database, and finally, loading the processed data into the intended target. Since this process is fully automated, not only is it very cost-effective but also does away with the possibility of errors and data loss.

The ETL tool for AWS loads data in minutes and is, therefore, a plus factor when real-time analytics is required by businesses. In traditional processes, migrating petabytes of data was a very time-consuming affair. Further, there is no need to install and configure additional drivers or applications for migrating databases with the ETL tool for AWS as it is started directly from the AWS Management Console. All changes at the source after migration are also updated in the target with the Change Data Capture feature provided both the source and the target databases are continually kept in sync.

These are the reasons why the ETL tool for AWS is preferred by businesses for database migration.    

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