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AWS DMS REDSHIFT

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AWS DMS REDSHIFT

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  1. Redshift database migration for AWS

  2. Amazon Redshift database is a data warehouse solution run on the cloud. With Amazon Web Service Data Migration Service (AWS DMS), it is possible to transfer data from databases supported by it to the target Amazon Redshift. But before doing so, it has to be ensured that both the AWS account and the AWS region are in the same cluster as Redshift. 

  3. The primary step in the AWS DMS REDSHIFTdatabase migration is to move the data with AWS DMS to an Amazon S3 bucket. After the files are kept in the S3 bucket, Amazon S3 automatically transfers to the Amazon Redshift data warehouse all the intended tables in S3. Even though this procedure is automated, it is not so when AWS CLI or DMS API is used for the AWS DMS REDSHIFT migration. In such cases, an Access Management (IAM) path and an AWS Identity have to be determined to get access to S3. 

  4. During AWS DMS REDSHIFT database migration a few basics should be carefully followed to make the Amazon Redshift database a target for AWS Database Migration Service.  First, the AWS Management Console has to be used to launch the cluster of the Amazon Redshift. The password, user name, and the name of the database in the AWS account and the Amazon Redshift cluster have to be noted. Only then can the target endpoint of Amazon Redshift be created with these values. The Amazon Redshift endpoint used by the cluster has to be connected to the AWS DMS replication instance through a network.  

  5. AWS DMS REDSHIFT database migration provides fully automatic operations when modifications are made at source tables by incremental data and data type mapping and generation of the schema are carried out. It is also automated when synchronization of Change Data Capture (CDC) is done for full load processes and changes to an application of schema in DDL are made on the tables at the source. 

  6. For transferring data to the Amazon Redshift database, an Amazon S3 bucket is used by AWS DMS. In instances where AWS CLI or DMS API carries out AWS DMS REDSHIFT database migration with the target database being Redshift, an IAM role has to be necessarily created.  • However, there are a few specific restrictions of using Amazon Redshift as a target database for AWS DMS as it does not support the following scenarios.  • AWS DMS does not migrate or replicate a name that starts with an underscore. (_). • The schema name on the target has to be changed through the mapping of transformations. • Finally, AWS DMS offers no support to an application of a DELETE statement to a multi-column primary key. This is especially when the primary key columns are a reserved word.     

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