Amazon Redshift is a cloud-based data warehouse that supports many recovery capabilities to address unforeseen outages and minimize downtime. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability. Originally published on December 9th, 2022.Īmazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. When the cluster restoration succeeds, you can view the details in the cluster details page.November 2023: This post was reviewed and updated with the general availability of Multi-AZ deployments for provisioned RA3 clusters. This option is deselected by default.Ĭlick Restore cluster from snapshot. Under Database encryption, to use a custom KMS key other than theĭefault AWS Key Management Service key, click Customize encryption You can use your SQL client to load and query data. When the cluster creation succeeds, you can view the details in the cluster details page. For more information about creating KMS keys,ĪWS Key Management Service Developer Guide.Ĭlick Create cluster. In the AWS Key Management Service console. Or, you can click Create an AWS Key Management Service key Under Choose an KMS key, you can either choose an AWS Key Management Service key orĮnter an ARN. To use a custom AWS KMS key instead of the default AWS Key Management Service key, click Customize encryption settings under Database encryption. Under Additional configurations, expand Database configurations. If youĬhoose another cluster subnet group, make sure that there are 3 Availability Security, and make sure that you either accept the defaultĬluster subnet group or choose another one. Scroll down to Additional configurations, expand Network and To bring your own data to your Amazon Redshift cluster, follow the steps in Bringing your own data to Amazon Redshift. You can start using the query editor v2 to query data. Amazon Redshift automatically loads the sample dataset into your Amazon Redshift cluster. Amazon Redshift loads the sample dataset Tickit into the default dev database and public schema. In Sample data, choose Load sample data to load the sample dataset into your Amazon Redshift cluster. The Amazon Redshift console or the AWS Command Line Interface.

You can set up Multi-AZ deployment when creating a new cluster either using In an AWS Region, without having to replicate the data at the Amazon Redshift level.

Multi-AZ deployment only supports RA3 node types that use Amazon Redshift Managed Storage (RMS).Īmazon Redshift stores data in RMS, which uses Amazon S3 and is accessible in all Availability Zones Or, you can restore from a snapshot toĬonfigure a Single-AZ data warehouse into a Multi-AZ data warehouse either using theĪmazon Redshift console or the AWS CLI restore-from-cluster-snapshot command using You can use either the Amazon Redshift console or the AWS CLI modify-cluster command You can convert an existing Single-AZ data warehouse into a Multi-AZ data warehouse, YouĬan also use the AWS CLI create-cluster command to create a new Multi-AZ data Nodes will be used to read and write workload processing during normal operation. Specify the number of compute nodes required in a single Availability Zone,Īnd Amazon Redshift will deploy that number of nodes in each of two Availability Zones. Using the Amazon Redshift console, you can easily create new Multi-AZĭeployment using the Amazon Redshift console, select the Multi-AZ option when creating the data You can convert an existing single Availability Zone data warehouse into a Multi-AZ data warehouse or restore from a snapshot to configure it into a Multi-AZ data warehouse. Amazon Redshift automatically selects the Availability Zones based on the selected subnet group configuration. Amazon Redshift Multi-AZ supports two Availability Zones at a time.

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