Using ETL in AWS Database Migration

The ETL tool in AWS is optimized for database migration between on-premises servers to the cloud, one cloud provider to another, relational databases, data warehouses, and NoSQL databases. For all these activities ETL in AWS is very effective and preferred by organizations to move databases even to remote locations.

ETL is an acronym for Extract, Transform, Load and it has three stages. The data is first extracted from the source database, transformed to match the acceptable architecture of the target database, and finally loaded into the target intended database.

There are several benefits of using ETL in AWS for database migration. 


The most critical advantage of using ETL in AWS is that the migration process is initiated directly by the tool from the AWS Management Console. Hence, the need to install and configure additional drivers and applications does not arise. Further, while the migration is on, the source database remains fully functional. This is critical for businesses that are data-driven as they do not have to shut down systems even for brief periods.

Another benefit of the ETL in AWS is that all changes that take place in the source databases after the last run are automatically replicated in the target database through the Change Data Capture feature provided both the source and the target databases are kept in sync.

The ETL in AWS can migrate databases regardless of their structure as most popular and common database systems used today are supported by AWS. Hence, both Homogeneous Migration and Heterogeneous Migration are possible with the ETL in AWS tool.

One of the most optimized ETL tools for AWS database migration is AWS Glue. 

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