Dataracity
Databricks · Data Governance

One governance model across your entire platform..

Unity Catalog provides a single permission model for your data, AI, and analytics. We design and implement it properly from day one.

What it covers

Governance as platform behavior

Unity Catalog enforces access policies wherever data is used, making governance automatic instead of dependent on process.

Access, granted once

Catalog → schema → table permissions mapped to business roles, with row filters and column masks where data is sensitive. No per-workspace exceptions.

Lineage, automatic

Column-level lineage captured as pipelines run — who consumes a table before you change it, where a suspect number came from after the fact.

Discovery & documentation

Tables described, tagged, and searchable, so analysts find the governed dataset before rebuilding it from raw files.

Audit, by default

Every access logged centrally. "Who touched this data" becomes a query, not an investigation.

How we deliver it

Design, migrate, make it routine

01Design the catalog

Catalog and schema structure mapped to business domains, with an ownership model — decided with you, documented, and defensible.

02Migrate & enforce

Existing tables and permissions move into Unity Catalog in waves; legacy grants retire as each wave lands. Masking and row policy applied where classification demands it.

03Hand over stewardship

Named owners, an access-request path that isn't a ticket black hole, and a review cadence your team runs.

Next step

Start with a governance review of one workspace.

We'll map what's governed, what's grandfathered, and what one catalog structure would replace.