Let’s see how we can migrate data from Oracle to Aurora PostgreSQL using AWS DMS. As part of our AWS Support Services, Bobcares provides answers to all of your AWS questions.

How to Migrate Data from Oracle to Aurora PostgreSQL using AWS DMS?

There are various processes involved in moving data from Oracle to Amazon Aurora PostgreSQL using the AWS DMS. Oracle to Aurora PostgreSQL migrations are made easier by AWS DMS.

Steps to Migrate Data from Oracle to Aurora PostgreSQL using AWS DMS

1. Firstly, make sure that the AWS account is configured and that we have the rights to use AWS DMS, create Amazon Aurora PostgreSQL instances, and alter network settings.

2. Then, create a PostgreSQL instance on Amazon Aurora if we haven’t previously done so via the AWS Management Console. So, set the instance size, security group, and subnet group according to the needs.

3. Also, make sure that the migration settings on the Oracle database are correct. Make a user account with read-only access and the proper permissions for the migration procedure. Using this account, AWS DMS will read data from the Oracle source.

4. Now, make a new replication instance in the AWS DMS console. The endpoint for data migration from Oracle to Aurora PostgreSQL is this instance.

5. Create an Oracle database source endpoint. Also, specify the host, port, username, and password for the connection.

6. For the Aurora PostgreSQL instance, specify a target endpoint. Then, give the security group settings and endpoint information.

7. Then, create a replication instance and set the source and target endpoints for it to use.

8. Create a migration task in the AWS DMS console by entering the source and target endpoints, the migration type, as well as the migration options. A full migration or continual replication (CDC – Change Data Capture) are also options.

9. Start the migration task in the AWS DMS console once it has been configured. The data from the Oracle source will start to replicate to the Aurora PostgreSQL destination using AWS DMS.

10. Follow the development of the data migration and keep a check on the AWS DMS work status. In order to keep track of the task’s progress and spot any problems, use the metrics and logs provided by AWS CloudWatch.

11. Verify the data consistency and integrity between the Oracle source and Aurora PostgreSQL target after the completion of the migration. If there are any discrepancies, we also need to resolve them.

12. Then, use the new Aurora PostgreSQL database endpoint and credentials in the apps and services.

13. We can complete the move by decommissioning the Oracle database and clearing off any resources we no longer require once we’ve verified that the migration was successful as well as the app is operating as intended.

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Conclusion

To conclude, we’ve provided a 13-step method from our Tech team to migrate data from Oracle to Aurora PostgreSQL using AWS DMS.