Design a data mesh on AWS that reflects the envisioned organization

This article discusses how the podcast company Acast designed and implemented a data mesh architecture on AWS to overcome challenges with their monolithic data infrastructure and achieve operational scalability as they grew.

Specifically, the article covers:

• The problem Acast faced with their centralized data architecture struggling to meet growing data demands
• The principles of a data mesh architecture, including domain-driven ownership, treating data as a product, and decentralized governance
• How Acast structured teams and AWS accounts around business domains to enable data ownership and self-service data access
• IAM role configurations to control access to open vs. restricted datasets across accounts
• Benefits achieved such as faster insights, reduced data duplication, and strengthened data ownership
• Learnings around setting up new teams in the data mesh and achieving full data producer maturity
• Conclusion highlighting AWS services useful for data mesh architectures