Using the ETL Tool for AWS Database Migration

AWS (Amazon Web Service) is a cloud-based database migration solution that enables seamless data transfer from on-premises systems to the cloud, one cloud provider to another, and between NoSQL databases, data warehouses, and relational databases. This is best carried out with the ETL AWS tool. 











ETL stands for Extract, Transform, and Load, and the tool is mainly used for combining several databases into one central storage repository. ETL AWS has three stages. First, data is extracted from the source database, then it is transformed to the required structure, and finally, the formatted data is loaded into the intended target database. The ETL AWS process is fully automated and thus, not susceptible to errors and data loss, thereby resulting in improved database performance and cost efficiencies. 

ETL AWS offers a host of benefits.

During the migration of databases, users do not have to install and configure any drivers or applications or make any changes to the source database. The process is initiated directly from the AWS Management Console and any change to the source database is easily replicated to the target database via the Change Data Capture feature.

Further, ETL AWS continually updates any changes made at the source database to the target database but this can only happen when the two are kept in sync. The advantage here is that the source database remains functional during migration and downtime of systems is not required. This is very helpful for large data-driven organizations for whom shutting down databases can adversely impact operational efficiency.

Finally, since AWS supports the most common databases in use, migration can be done with ETL AWS regardless of the structure of the databases. 

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