Amazon Redshift’s Data Sharing of data lake tables is now generally available, offering a secure and convenient way to share live data lake tables across different Amazon Redshift warehouses. Data Sharing of data lake tables in the AWS Glue Data Catalog provides live access to the data, ensuring that you always see the most up-to-date and consistent information as it is updated in the data lake.
Today you can use Amazon Redshift to query your data lake but you cannot leverage the power of Redshift or Lake Formation managed data sharing with external schemas referencing your data lake tables. You have redundant effort to setup your data lake tables for each Redshift warehouse which increases your administration overhead. Now with Redshift and Lake Formation managed Data Sharing of data lake tables, you can right size the data sharing consumer compute while maintaining seamless access to the data lake tables without needing to recreate any table or view definitions. You can use SQL or the Redshift console to securely share data at various levels, including, tables and views.
Data Sharing of data lake tables in the AWS Glue Data Catalog is available in all regions where Redshift Serverless and Provisioned RA3 node types are available. Learn more about Data Sharing capability in Redshift feature page, refer to Redshift documentation and refer to the Lake Formation documentation.
Source:: Amazon AWS