Amazon Redshift supports four new materialized view (MV) features on data shares

[Amazon Redshift](https://aws.amazon.com/redshift/) now allows you to run create MV and refresh MV commands from multiple Amazon Redshift data warehouses. This update also allows you to create an MV on shared MVs. Finally, this release now supports concurrency scaling of the create materialized view (MV) data definition language (DDL) command. With this update, you can now scale the create MV DDL command whenever your main Amazon Redshift data warehouse cluster or workgroup runs out of resources simply by enabling concurrency scaling in your Amazon Redshift account. You can start using these new capabilities immediately in all AWS regions where Amazon Redshift is available to scale your workload and build resilient analytics applications with predictable Service Level Agreements. To get started, refer to the [Concurrency Scaling](https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html), [Materialized Views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) and [Data Sharing](https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html) sections of the Amazon Redshift[ documentation](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html).