Amazon Web Service Database Migration Service (AWS DMS) helps in smooth and easy migration of data warehouses, NoSQL databases, relational databases, and any other form of data store. AWS DMS can also be used to migrate data between on-premises systems or from on-premise to the cloud.

The most popular and used method for the migration process is the AWS DMS ETL tool. The platform ensures that in one-time migration ongoing changes are replicated so that the source and the target database are always in sync. The AWS Schema Conversion Tool (AWS SCT) is used to transform the database schema to the new platform when database engines are changed. The advantage of using AWS DMS ETL for migration is that being cloud-based, businesses can reap all the attendant benefits of the cloud-like security, data flexibility, speed to market, and most critically, cost efficiencies.

Benefits of AWS DMS and ETL

Why do organizations choose Amazon Web Service DMS and ETL for migrating databases?

•Negligible downtime: Migration of databases to AWS is done without any downtime. Changes made at the source database are continually and automatically updated in the target database. Hence during the process of migration, the source database remains fully operational and functional. The target database can be kept synchronized with the source database as long as it is necessary.

•User-friendly: With AWS DMS ETL, there is no need for installing any drivers or applications or making any changes to the source database. A few clicks on the AWS Management Console are enough to start the migration activity. The whole process is automatically managed by DMS by replicating any changes to the data at source.

•Support current databases: The most common commercial database and applications are supported by AWS DMS. Heterogeneous migrations between Oracle and Amazon Aurora, for example, are maintained by it as is homogeneous migration like Oracle to Oracle. Migrations occur between on-premises databases to Amazon RDS or Amazon EC2, Aurora as well as databases running on EC2 to RDS or vice versa. Data can also be migrated between SQL, text-based data, and NoSQL with DMS AWS.

These are some of the features and functions of AWS DMS.

Importance of AWS DMS ETL

ETL is short for Extract, Transform, Load and is a process that helps to combine data from multiple sources into a data warehouse or a central database. Data is extracted from a data source, transformed into the desired format, and loaded into a data warehouse or any other data repository. The top ETL tool will have optimized features like smooth installing and integration, easy management and monitoring, real-time streaming, and stringent data security regulations.

Further, AWS DMS ETL enables data migration with zero data loss, at affordable costs, and without the need for trained professionals and database administrators to monitor the process.

Among the best ETL tools for AWS are AWS Glue and Aws Data Pipeline.