Using AWS ETL for Optimizing Database Migration

 A cloud-based platform, Amazon Web Service (AWS) offers a wide range of facilities such as infrastructure as a service, platform as a service, and packaged software as a service. Apart from these, AWS is also highly optimized for enabling database migration between relational databases, data warehouses, and NoSQL databases. And to ensure that the migration activity goes off without any issues, the most preferred and efficient tool is AWS ETL.

But first, what is ETL? It is an acronym for Extract, transform, Load, which is to extract the data from the source database, transform the data to match the structure of the target database, and finally load the processed data into the intended target.

How does the AWS ETL tool maximize the database migration activity and why use the tool?

Here are some of the reasons for it.

·        Data loss is at a minimum when migrating with AWS ETL. This is because the process is fully automated and the possibility of human errors is eliminated.

·        While manual data migration is a time-consuming process, AWS ETL, even for petabytes of data, is very fast helping in real-time data analysis.

·        Automated migration is cost-efficient too. This is because the expenses for training or hiring personnel to manage the migration are not required as the activity is automated.

·        Complete data consistency and reliability, a capability that cannot be avoided in manual migration processes is assured in database migration with AWS ETL.

AWS Glue is considered the best AWS ETL tool for database migration. It is very user-friendly and ETL can be configured and set up and running with just a few clicks on the AWS Management Console. 


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