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Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job

Big Data Blog



This article discusses how AWS services like AWS Glue, AWS Data Exchange, AWS Clean Rooms, and Amazon DataZone can be used for data sharing and collaboration within an organization and with third-party providers.

Specifically, the article covers:

  • Different personas involved in data sharing and their roles (data producers, data consumers, line of business users, partners, data scientists, data engineers, data security and governance officers)
  • How to choose the right AWS service for each persona's needs (AWS Glue for SaaS integrations, AWS Data Exchange for third-party data, AWS Clean Rooms for secure collaboration, Amazon DataZone for enterprise data platform)
  • Three use cases demonstrating how these services can be used together:
    1. Sales and customer visibility by line of business
    2. Cross-organization supply chain and inventory visibility
    3. Identifying cross-sell and up-sell opportunities
  • A final architecture integrating all the services for the three use cases
  • Conclusion emphasizing how to choose the right tools for building an enterprise data platform and enabling data sharing and collaboration


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