The Functioning of the AWS ETL tool

The Amazon Web Service (AWS) is a cloud-based platform that, along with other technologically advanced activities, facilitates the migration of databases from on-premises servers to the cloud and between cloud providers through its Database Migration Service (DMS). And the most popular and optimized method, in this case, is using the AWS ETL tool. 


ETL is short for Extract Transform, and Load. There are three stages to the functioning of the AWS ETL tool for database migration. First, the data is extracted from the source database by the tool. Next, it transforms the data structure to one that is supported by the target database. Finally, the formatted data is loaded into the intended database. A great advantage of using the AWS ETL tool is that the data has all the attributes of a cloud-based service such as stringent data security, data flexibility, speed to market, and most critically, cost efficiencies.

One of the major benefits of using the AWS ETL tool for database migration is that the activity can be executed without shutting down the systems. All changes made at the source database are continually updated to the target database provided both are kept in sync always. The source database remains fully functional and downtime for migration is not required. This is a big help for large data-driven organizations that cannot afford to shut down systems without upsetting operational schedules.

Further, while migrating databases with the AWS ETL tool, it is not necessary to install additional drivers or applications. The process can be started directly from the AWS Management Console and no human intervention is required at any stage of the migration activity.

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