Data Mesh


Enables business domains to own their data products.

How does Yavantha support Data Mesh architecture?


Domain-centric data ownership

Share trusted data across domains.

  • Data products are built by experts in the domains where data is produced
  • Data is exposed through data products using any combination of API, MCP, SQL
  • Data products are discoverable and accessible to authorized data consumers
  • Centralized multi-domain master data for enterprise-wide use
Domain-oriented ownership cycle Four data mesh principles linked in a loop: domain ownership, data as a product, self-serve platform, federated governance Domain ownership Each domain owns its data Data as a product Ready to consume, documented Self-serve platform Shared tools, autonomy Federated governance Common policies, local execution

Anatomy of a data product The data product exposes code and a contract, and rests on governance, metadata and data Code & contract What the product exposes Data product Governance Rules and stewardship Metadata Schema, SLA, sensitivity Data The delivered content

A data-as-a-product approach

Present data with everything needed to drive usage and trust.

  • Metadata includes the data product's schema, access controls, governance policies, SLAs, and more
  • Business logic for ingestion, cleansing, transformation, enrichment, aggregation, and delivery is translated into code
  • The platform executes the data product based on its metadata and code

Self-serve data platform

Empower domain teams to be autonomous by reducing complexity.

  • A semantic data layer, combined with no-code tools, lets data product engineers build and share quickly and autonomously
  • A data product catalog lets users across domains discover and consume products according to their roles and privileges
  • Admins monitor data product performance and usage, integrate CI/CD pipelines, define access controls, and more
The four data mesh roles Data owner, data consumer, data product engineer, data admin, each with a primary responsibility Data owner Authorizes access to data Data consumer Discovers and uses products Data product engineer Creates and publishes products Data admin Security, access, performance

Federated governance The governing body defines global standards, directly oversees data products, and coordinates two autonomous domain teams who each publish their own products Governing body Policies and compliance Standards Policies Domain A Autonomous team Products Global view Domain B Autonomous team Products Ready to consume Products Ready to consume

Federated governance

Embed data quality and privacy policies into data products.

  • Global data governance is implemented in the Data Mesh hub
  • Data domains apply global governance policies within their own products
  • Data domains implement domain-specific governance as needed


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Ready to adopt Data Mesh?

Let's explore how Yavantha can support your transition