Make Amazon Redshift as AWS DMS Target Database

 

Amazon Redshift database is a data warehouse solution based in the cloud. With Amazon Database Migration Service, you can migrate data from supported databases keeping Redshift as the target. However, it is essential to ensure that the AWS account and the AWS region form a part of the same Redshift cluster.

The first step in DMS REDSHIFT database migration is to move data to an Amazon S3 bucket with AWS DMS. Once the files are located in the S3 bucket, the Amazon S3 automatically transfers the intended tables to the Amazon Redshift data warehouse. The S3 bucket, as pointed out previously has to be in the same AWS Region as the Amazon Redshift database. However, when AWS CLI or DMS API is used for DMS Redshift migration, an AWS Identity and Access Management (IAM) path have to be set up to get access to S3.



Amazon Redshift provides automated processes in the following cases.

·        Modifications made at source tables by incremental data

·        Data type mapping and generation of schema

·        The total load on database tables at the source

·        Synchronization of Change Data Capture (CDC) and full load processes

·        Changes to application of schema in data definition language (DDL) made in the tables at source.

A few basics have to be followed in the DMS Redshift migration process while using an Amazon Redshift database as a target AWS DMS.

The AWS Management Console has to be used for an Amazon Redshift cluster launch and the password, user name, and database name in Redshift and the AWS account have to be noted. Further, the AWS DMS replication instance should be connected through a network to the Amazon Redshift endpoint.  

 

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