Using the AWS ETL Tool for Database Migration

Amazon Web Service (AWS) is a cloud-based platform that facilitates seamless migration between data warehouses, relational databases, NoSQL databases, on-premises databases to the cloud, or two cloud providers. And one of the most optimized resources for carrying out these activities is the AWS ETL tool.


ETL – Extract, Transform, Load – is a tool that helps to combine data from multiple sources and store it in a central database or a data warehouse. The process runs as follows – data is extracted from a source, transformed into the required format, and loaded into the target data warehouse or any other repository. The reason why the AWS ETL toolis so popular is that it has several optimized features including easy management and monitoring of data, seamless installation and integration, real-time streaming, and stringent data security norms.

Further, the AWS ETL toolenables data migration without any data loss and at affordable charges.AWS Glue and AWS Data Pipeline are among the best ETL tools. These are fully automated and hence there is no need to engage trained professionals and database administrators to track the migration.

When using the AWS ETL toolfor database migration, organizations do not have to install any drivers or applications or make any changes to the source database as the process can be initiated with just a few clicks on the AWS Management Console. The complete activity is managed by AWS and any changes at the source are replicated smoothly to the target database.

Finally, both homogeneous migration like Oracle to Oracle and heterogeneous migration like Oracle to Amazon Aurora can be carried out with the AWS ETL tool.

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