Redshift Database Migration on Amazon Wed Service

 

Amazon Redshift is a data warehouse solution based on the cloud. With Amazon Web Service Data Migration Service, organizations can transfer data from their data center to the target Amazon Redshift.

Before starting the Redshift migrate data to process, it is essential to ensure that both the AWS region and the AWS account are in the same cluster as Redshift. The migration is fully automated but to make it a success, several steps have to be followed.

Move data with the Data Migration Service to an Amazon S3 bucket. Once the transfer is completed, Amazon S3 automatically transfers all the intended tables in S3 to the Amazon Redshift data warehouse. Even though this Redshift migrate data process is automated human intervention is required when AWS CLI or DMS API is used for the Redshift migration. Here, Access Management Path (IAM) and an AWS Identity has to be established to get access to the S3 bucket.



A few basics need to be followed for Redshift migrate data function.

First, the Management Console of AWS has to be used to launch the Redshift culture. Note the password, user name, and the name of the database in the AWS account and the Redshift cluster. Using these values, the target endpoint of Redshift has to be created which has to be then connected to the DMS replication instance through a network.

AWS uses an Amazon S3 bucket for transferring data to the Redshift database except where AWS CLI or DMS API carries out the Redshift migrate data function.

Finally, AWS DMS transforms BLOBs, CLOBs, and NCLOBs to a VARCHAR. However, Amazon Redshift does not support data types of VARCHAR which are more than 64 KB.


Comments

Post a Comment

Popular posts from this blog

AWS Support to Migration of Databases to S3

Image
  In July 2019, Amazon Web Service Data Migration Service (AWS DMS) announced the launch of a service that would support the migration of data from any source in AWS Apache Parquet data format to S3. The data migrating feature AWS DMS CDC S3   is available in the 3.1.3 version of DMS. S3 is generally used to support DMS while creating data lakes. This data can be used with a wide range of AWS such as Amazon Redshift Spectrum, Amazon EMR, and Amazon Athena. It has been a long-standing demand by users which has now been accepted by AWS with the launch of AWS DMS CDC to S3 . Why do businesses migrate data from AWS DMS CDC to S3? There are several benefits to it. It provides cutting-edge data security, data availability, performance, and scalability which means that organizations can use the S3 for storing and protecting unlimited volumes of data in the cloud. This includes databases with mobile applications, enterprise applications, websites, protection to unlimited volumes...
Read more

Make Amazon Redshift as AWS DMS Target Database

Image
  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 dat...
Read more

Features and Functions of Software for Data Replication

Image
  Data replication is the activity where several copies of the same data sets are made and stored in different locations, thereby allowing easy data accessibility across the network. The replicated data can be stored on-site or off-site, in the same system or cloud-based locations. Data replication is so critical that major database technologies such as Microsoft SQL or Oracle database have in-built systems for this activity. Data replication takes place in two ways. One is asynchronous that carries out replication when the Commit statement is issued to the database. The other is synchronous replication where any change that is made to the data at source will be automatically replicated to the data at target. One of the most optimized methods to carry through this process is to use a very effective data replication software . The advantage of the software is that it helps to quickly create a replica of the database at source to a location that is completely independent of the s...
Read more