The Function of the ETL Tool in Amazon Web Service

Amazon Web Service (AWS) is a cloud-based platform, that among other services facilitates database migration from on-premises databases to the cloud or from one cloud provider to another. The most optimized tool for this purpose is AWS ETL.



ETL is short for Extract, Transform, Load, and the tool is mainly used to combine several databases into a centralized data storage repository or a data warehouse. There are three ways that the AWS ETLtool functions. First, the data is extracted from the source database. In the second stage, this data is formatted to match the architecture of the target database. Finally, this processed data is loaded into the intended database. The whole activity is fully automated, thereby doing away with any possibility of errors or data loss arising from human intervention.

There are several benefits of AWS ETL.

There is no need to install additional drivers or make any changes to the source database when using AWS ETL. Migration is initiated directly from the AWS Management Console, and if the source and the target databases are kept in sync, all changes at the source too are continually moved to the target through the Change Data Capture feature.

Another advantage of AWS ETLdatabase migration is that during the process, the source database always remains fully functional. This is a huge help for large data-driven organizations whose operating schedules can get upset even with downtime for very brief periods. 

Finally, migration with AWS ETLcan is carried out between on-premises databases to Amazon RDS or Amazon EC2, Aurora, databases running on EC2 to RDS or vice versa, text-based data, and NoSQL with AWS DMS.  

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