Migrating Databases with the ETL Tool for AWS

AWS (Amazon Web Service) is a cloud-based service that offers unlimited storage, high computing powers, and content delivery. All these can be classified into silos, making it easy for businesses to estimate the costs of each service. AWS also enables seamless database migration between one cloud provider to another or from on-premises servers to the cloud and also between NoSQL databases, relational databases, and data warehouses. One of the most optimized methods to carry out database migration is to use the ETL tool for AWS. 


ETL is an acronym for Extract, Transform, Load. This tool is primarily used to combine several data warehouses or databases into a single centralized data storage facility. The ETL tool for AWS first extracts the data from the source database, transforms it into a structure that complements that of the intended database, and finally loads the processed data into the target database. The whole process is fully automated without any human intervention and thus, not susceptible to any data loss or data crash.

The most important advantage of migrating databases with the ETL tool for AWS is that there is neither any need to install or configure additional drivers or applications nor make any changes to the source database. The migration process is initiated directly from the AWS Management Console and all changes at the source database are continuously replicated to the target database through the Change Data Capture feature.      However, for this to happen the source and the target databases have to be kept in sync.

These benefits have made the ETL tool for AWS very popular among businesses today for database migration. 

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