![]() Note the port value as you'll need it in the following steps. Within the cluster, navigate to Properties > Database configurations > Port and note the port value.Within Database configurations, enter your Redshift administrator username and password in the Admin user name and Admin user password fields.Select the type and enter the number of nodes you need using the Node type drop-down and Number of nodes field.Within Cluster configuration, enter a name for the new cluster, e.g., chartmogul_cluster, in the Cluster identifier field.Within Amazon Redshift, navigate to Clusters > Create cluster.Please review Amazon's bucket naming rules as part of this. You'll need to choose a name for the S3 bucket.You'll need to select an AWS Region where you'd like Amazon to host your Amazon Redshift cluster and store your S3 bucket.If you have already configured Amazon S3 as a destination, we recommend creating a new S3 bucket for your Amazon Redshift destination.ChartMogul refreshes (overwrites) the data in these tables as part of its daily sync. ChartMogul first uploads data using the parquet data storage format to the bucket, then moves the data into Amazon Redshift tables. ChartMogul uses an S3 bucket (that you'll set up) as a staging area to send data to Amazon Redshift.Read more about clusters and nodes in Amazon Redshift. When creating a cluster, you'll need to choose the type and number of nodes you'll need to meet your CPU, RAM, storage capacity, and storage drive type requirements.Please review the following details before completing the steps outlined in this article. ![]()
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