Designing & Delivering Data Products: From Mesh Principles to Data Fabric Automation

Modern data teams are asked to ship reliable, reusable data products not just pipelines across both operational and analytical domains. In this session we will explore how to define, build, and govern data products using cloud‑native patterns. Blending data mesh principles (domain ownership, product thinking, federated computational governance) with data fabric concepts (active metadata, automation, and intelligent integration).

We’ll walk through a pragmatic blueprint for productizing data. How to establish clear product contracts for schemas and lineage to make operational and analytical flows first‑class citizens when building event streaming, CDC, Lakehouse and warehouse solutions. Embedding data governance by design so teams move fast without breaking compliance, enriched with business metadata.

Expect actionable patterns and architecture examples. Whether you’re an architect defining domains and standards or an engineer delivering pipelines and notebooks, you’ll leave with a reusable checklist and reference architecture to accelerate your data product portfolio at scale, with Microsoft data platform friendly examples throughout.

• Define and implement data product contracts including schemas, lineage, and governance guardrails for operational and analytical domains.
• Apply data mesh principles and data fabric automation to enable domain ownership, active metadata, and federated computational governance at scale.
• Design cloud‑native architectures that embed policy‑as‑code, data quality gates, and observability for secure, compliant, and reliable data products.