Amazon Web Service and the ETL Tool

AWS (Amazon Web Service) operates in the cloud and provides a range of services such as database storage, content delivery, and high-performing computing power. One of its critical functions is to facilitate the migration of databases between relational databases, NoSQL databases, or data warehouses, either from on-premises servers to the cloud or between cloud providers. The most optimized method to carry out all these activities is to use the ETL tool for AWS. 


ETL is short for Extract, Transform, and Load. It is mainly used to consolidate several databases into a single centralized database or a data warehouse. There are three functions of the ETL tool for AWS. It first extracts data from the source database, transforms the data to match the structure of the intended database, and finally, loads the formatted data into the target database. Since the ETL tool for AWS is fully automated, the database migration is not prone to errors or data loss, resulting in cost savings and high performance.

The main benefit of organizations using the ETL tool for AWSfor database migration is that there is no need for enterprises to configure and install additional drivers and applications or make any changes to the source database. The activity can be started directly from the AWS Management Console that replicates all changes in the source database to the target database through the Change Data Capture feature.

Further, changes made at the source are continually updated to the target database at pre-set intervals provided both are always kept in sync. Also, the source database is functional during migration, doing away with the need for downtime. 

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