![]() First we have configured the cluster information.Ĭluster identifier: amazon-redshift-clusterī. Given below are the examples mentioned: Example #1Ī. Amazon Redshift cluster is linearly scalable for data growth. Also, it is very useful for analytic workloads. We can fetch a large amount of data at a fast speed. ds1.8xlarge: It will contain the 32 virtual CPU, 244 GB RAM, 2.56 TB storage space and 2-128 node range.īelow are the main parameters which were used at the time of cluster management.dc1.large: It will contain the 2 virtual CPU, 15 GB RAM, 160 GB storage space and 1-32 node range.dc2.xlarge: It will contain the 32 virtual CPU, 244 GB RAM, 2.56 TB storage space and 2-128 node range.dc2.large: It will contain the 2 virtual CPU, 15 GB RAM, 160 GB storage space and 1-32 node range. ![]()
0 Comments
Leave a Reply. |