![]() If this is the first time using Redshift Serverless, then need to create a default workgroup. There is also a charge for Redshift Managed Storage (RMS). You are only billed according to capacity used in a given duration (RPU hours), which scales automatically to optimise running the query. Sign in to the Redshift console and select Serverless free trial. All new users get free $300 credits for a trial period of 3 months. We will use Redshift Serverless, the serverless offering of Redshift which removes the need for setting up and managing underlying cluster specs and scaling. Once subscribed to, we need to create a datashare in the Redshift cluster to access the data immediately. Instructions on how to subscribe to this product can be found here Worldwide Event Attendance is a free product available in AWS Marketplace, which allows subscribers to query, analyse and build applications quickly. You can adjust the RPU base capacity or set usage limits which is explained more in the Data Recovery, Monitoring and Cost Management section. This is still well within the free trial. In addition, you will also be charged for data storage. Serverless will try and optimise the computation by scaling to more RPUs which will increase cost. Note that the queries would cost between $20-$30 as we are using the entire dataset with minimal filtering. ![]() In the second part, we will setup Quicksight and connect to our Redshift cluster, to access the data and build dashboards to generate some interesting insights. The other features provided by Redshift such as cluster performance monitoring, data recovery and guarding against surprise bills will also be touched upon. We will then run some queries and unload data to S3. In the first part of this blog, we will focus mainly on setting up Redshift serverless cluster and configuring access to external WorldWide Event Attendance Data Exchange via Redshift DataSharing Feature so it can be accessed from the database in the cluster provisioned. ![]()
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