Data Mesh Meets Universal Authorization

  • Data discovery mechanism
  • Data quality and trustworthiness
  • Standardization of common infrastructure and reuse of assets
  • Interoperability of domains
  • Self service architecture
  • Observability, governance, and security

Key findings

  • Deploy a collaborative governance platform. Engage all data stakeholders, such that the business, infosec, and data privacy teams work with the data and IT teams to deliver data to business without compromising data security mandates or data privacy regulations.
  • Design a common data access governance layer. Ensure data consumers have consistent access to common data products in different domains through centralized policy management. During the data mesh planning stage, perform proof of concepts of products that provide data governance capabilities. It should not be an afterthought.
  • Implement the universal authorization layer. Permit consumers to search and analyze domain data without performance and scale bottlenecks. The universal authorization layer is typically a best of breed product deployed in a modular and composable architecture, capable of supporting multiple data storage technologies in a hybrid multi-cloud environment.

Data mesh: a brief primer

Data access layer

  • Share common standards
  • Reuse common resources
  • Reduced integration overhead
  • Develop deep skills in core technologies rather than every department having its own stack.
  • Data discovery
  • Data access governance
  • Data observability

Universal data authorization

Conclusion

  • Reducing the time between when consumers request new features and when data engineering teams deliver the functionality
  • Fewer ad hoc requests for data on channels such as Slack
  • Higher usage of data when it is made available as a product

Sanjeev researches the space of data and analytics. Most recently he was a research vice president at Gartner. He is now a principal with SanjMo Data Advisory.

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Sanjeev Mohan

Sanjeev Mohan

Sanjeev researches the space of data and analytics. Most recently he was a research vice president at Gartner. He is now a principal with SanjMo Data Advisory.

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