Data Mesh Architecture: Enabling AI at Scale with Decentralized Data
Implement federated governance that balances domain autonomy with enterprise standards for AI-ready data products.
14 articles
Implement federated governance that balances domain autonomy with enterprise standards for AI-ready data products.
Computational governance scales where manual review cannot. Embed policies in CI/CD pipelines to catch issues before they reach production.
A data platform that enables self-service must provide templates, guardrails, and automation while maintaining governance.
Data mesh rests on four pillars: domain ownership, data as a product, self-serve data platform, and federated computational governance.
Data mesh with AI enables domain teams to own both data and intelligence.
Data mesh is a journey, not a destination. Start with a few high-value domains, prove the model, then expand. The technology enables data mesh, but success…
Data contracts formalize the agreement between data producers and consumers. Today I'm exploring how to implement effective data contracts in your data…
Data products are the deliverables of a data mesh. Today I'm exploring how to build, manage, and consume data products in Microsoft Fabric.
Federated governance balances domain autonomy with organizational standards. Today I'm exploring how to implement effective federated governance in…
Domain-Driven Design (DDD) principles apply to data architecture just as they do to software. Today I'm exploring how to design data systems around business…
1. Clear domain boundaries Define ownership clearly 2. Product thinking Treat data as a product 3. Self serve enablement Empower domain teams 4.…
Fabric Domains are the tenant-level organisational construct that lets large enterprises apply data mesh principles to their Fabric deployment — grouping…
2022 established these patterns as the foundation of modern data engineering. The lakehouse became the default architecture for new data platforms. Data…
Data mesh isn't a technology choice - it's an organizational paradigm shift. 2021 was about understanding it; 2022 will be about implementing it.