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Cross-account data collaboration with Amazon DataZone and AWS analytical tools
- Data sharing is crucial for innovation, growth, and collaboration, with organizations promoting it outperforming peers as per a Gartner study.
- Amazon DataZone enables cataloging, discovering, and sharing data across AWS, solving challenges like managing permissions and data discovery across accounts.
- The solution allows cross-account data collaboration, utilizing AWS analytical tools like Amazon Athena and Redshift query editor.
- Data administrators, data publishers, and data subscribers play key roles in creating, publishing, and consuming data assets in this setup.
- Prerequisites for setting up cross-account access include two AWS accounts, Amazon Redshift cluster, and AWS Secrets Manager for storing credentials.
- Amazon DataZone leverages AWS Resource Access Manager for domain associations, facilitating automatic association for accounts in the same organization.
- Steps involve setting up DataZone domain, requesting domain association, creating projects for Glue and Redshift, and subscribing to data assets.
- Creating AWS Glue and Redshift environments, publishing data assets, setting up environment profiles, and subscribing to tables are integral parts of the process.
- The solution aims to simplify cross-account data sharing, ensuring reliable access, consistent governance, and utilizing AWS Glue and Amazon Redshift for insights and decision-making.
- Key authors involved in the post are Arun Pradeep Selvaraj, Piyush Mattoo, and Mani Yamaraja, who specialize in solutions architecture and customer-centric technology solutions at AWS.
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