Data Migration Using AWS DMS

Date: 11/19/2021

In today's environment, cloud migration is one of the most important imperatives for businesses all over the world. Many firms are migrating old systems and infrastructure to the cloud in order to capitalize on the power of resource efficiency. As a result, demand for various public cloud platforms such as AWS is expanding significantly, particularly as organizations learn about the benefits of the cloud. This is one of the reason why I've decided to transition my career to cloud computing through AWS because I witnessed the transition happening around me.

Before I talk about the use cases for data migration using AWS DMS, it is necessary to first understand what AWS DMS is. The AWS Database Migration Service (DMS) is a fully managed cloud service that makes it easy to migrate relational databases, NoSQL databases, data warehouses, and other types of data storage.

AWS DMS can assist you in migrating your data to the AWS Cloud, between on-premises and cloud installations, or between on-premise instances using an AWS Cloud setup. Users can quickly repeat ongoing adjustments to keep sources and targets synchronized, as well as make one-time integrations.

You can use the AWS Schema Conversion Tool to convert existing database schema to the relevant new platform. The AWS SCT is appropriate for cases in which you want to change database engines before moving data with the AWS DMS. Data migration using AWS DMS also provides the advantages of greater flexibility, security, cost-effectiveness, and faster time to market that are inherent in all AWS services.

General Data Migration Use Cases

• Homogeneous Migration

The first use case for data migration is homogeneous migrations. One of the traditional data migration options is homogenous migration, which involves migrating database instances that use the same database technology. Homogeneous migrations necessitate substantial planning to ensure compliance with uptime SLAs. Furthermore, homogeneous migrations ensure that data is lost as little as possible during the relocation process.

• Heterogeneous Migration

Before diving deeper into data migration using AWS DMS, consider the following crucial use case: heterogeneous migrations. Heterogeneous migrations mean moving database instances from one database technology to another. A team migrating from MySQL to SQL Server, for example, exemplifies a diverse migration process.

Although the causes for heterogeneous migrations differ greatly from one firm to the next, there were numerous obstacles that accompanied them. Support for data types across different platforms is one of the most essential problems connected with heterogeneous migrations.

• Migration from On-Premises to Cloud

The final data migration use case is the transfer of data from on-premises databases to the Cloud. This is currently the most sought-after form of database migration technique that businesses encounter.

The most crucial difficulty in this scenario, however, is that cloud database services such as Redshift or RDS do not contain every technology feature that customers are accustomed to in a native SQL Server environment.

Use Cases of AWS DMS Data Migration

• Homogenous Database Migrations

In homogeneous database migrations, the source and target database engines are comparable. And the source and target database engines may be interoperable with one another, as shown below.

• MySQL to Amazon Aurora or Amazon RDS for MySQL.

• Oracle to Amazon RDS for Oracle.

• Microsoft SQL Server to Amazon RDS for SQL Server.

Because of the consistency of schema architecture, database code, and data types across the source and target databases, homogenous migrations are typically one-step processes. Users can establish a migration job that includes connections to the source and target databases before commencing the migration with a single click.

The AWS DMS does the remainder after you press the mouse button :)

• Heterogeneous Database Migrations

One of the most notable features of heterogeneous database migrations is the disparity between source and target database engines. Migrations from Oracle to Amazon Aurora, Microsoft SQL Server to MySQL, or Oracle to PostgreSQL, for example, are examples of heterogeneous migrations.

Before beginning the heterogeneous data migration process using AWS DMS, a schema and code transformation step is required. This is obviously required to address the differences in data types, database code, and schema structure between the source and target databases. As a result, heterogeneous migration procedures are often two-step in nature.

As mentioned above, the AWS Schema Conversion Tool can assist in the conversion of source schema and code for matching in the target database in data migration use cases. After that, you can use the AWS Database Migration Service to migrate data from the source to the destination database.

The use cases of AWS database migration service in heterogeneous migration would also let you discover that AWS DMS automatically handles all data type conversions. Amazon RDS or Amazon EC2 could be used to host the target database. The source database could be in an Amazon RDS database or on-premises, outside of AWS, and operating on an EC2 instance.

• Development and Testing

Another frequent mention among use cases of data transfer utilizing AWS DMS is the migration of data into and out of the cloud for development purposes. Two separate scenarios can be seen in such use cases. On AWS, one scenario involves the deployment, development, testing, or staging of systems.

Developers and testers can use AWS DMS to make copies of genuine production data to ensure that updates are copied back to the on-premises production system. The second scenario entails the existence of development systems on-premises.

Users can choose to migrate an existing copy of the AWS Cloud production database to on-premises systems once or repeatedly. As a result, traditional DevOps processes have been minimized while maintaining an up-to-date representation of the production system.

• Continuous Data Replication

Among the numerous data migration use cases supported by AWS DMS, continuous data replication stands out. The AWS DMS use case for continuous data replication would include critical processes like disaster recovery instance synchronization, dev/test environment synchronization, and geographic database dissemination.

Users can ensure data replication from a single database to one or more target databases. You can, on the other hand, merge numerous source databases and duplicate them to one or more target databases.

Final Words

The different data migration use cases for AWS DMS provided here clearly demonstrate its efficiency. Aside from standard data migration chores, AWS DMS also offers database consolidation, development, and testing, as well as continuous data replication. AWS DMS includes a number of services that help to facilitate data migration while also providing potentially advantageous degrees of flexibility.

With this, I believe I will be going on a week or two break from blogs to focus on my studies for AWS networking and security certifications to further help me improve as a solutions architect. Thanks for reading and see you next time!