Unleash deeper insights with Amazon Redshift data sharing for data lake tables
Big Data Blog
This article discusses Amazon Redshift's new capability to securely share data lake tables (external tables or Redshift Spectrum tables) and views referencing those data lake tables across warehouses, accounts, and AWS Regions. This enables seamless cross-team and cross-organizational collaboration, reduces overhead, and unlocks new insights by leveraging the full breadth of shareable data.
Specifically, the article covers:
- Overview of Amazon Redshift data sharing and Redshift Spectrum data lake integration
- Steps to add a view referencing a data lake table to a Redshift datashare
- Steps to add a data lake table directly to a Redshift datashare
- Security, audit, and billing considerations when sharing data lake tables/views
- Conclusion highlighting the benefits of this new capability in democratizing data access
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