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Endigest AI Core Summary
Zalando shares how they built a unified data foundation using the Databricks platform to address governance and metric consistency challenges at scale.
•Unity Catalog enables a dual-catalog pattern: private catalogs for domain team autonomy and a central shared catalog for governed, company-wide access via Dynamic Views
•Dynamic Views enforce GDPR compliance, insider access rules, row/column-level security, and full auditability across all cross-team data sharing
•A GitOps-based sharing workflow automates governance: teams open PRs to share datasets, triggering automated validation and Dynamic View provisioning
•Metric Views serve as a unified semantic layer, decoupling metric definitions stored as YAML in a central repo from consumption across SQL editors, dashboards, and AI agents
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CI/CD pipelines validate metric definitions for uniqueness, naming conventions, and ownership before merging to production
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Databricks
Google Cloud