Web Reference: With Amazon Redshift, you can share data at different levels. These levels include databases, schemas, tables, views (including regular, late-binding, and materialized views), and SQL user-defined functions (UDFs). You can create multiple datashares for a given database. Make data available for use in multiple warehouses as soon as it's in any Amazon Redshift database. Extract, transform, and load (ETL) the data using one warehouse and the data is accessible within and across organizations and AWS regions. May 11, 2024 · In this section, we'll explore advanced settings and scenarios for Amazon Redshift data sharing, including multi-warehouse writes and cross-account and cross-region data sharing.
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