Databricks - Unity Catalog

From governance to growth - unleash the full potential of Databricks.

Data governance is often fragmented, inconsistent, and hard to scale  especially across multi-cloud environments. Unity Catalog changes all that.

Unity Catalog gives organisations a unified way to secure, govern, catalogue, and discover data and AI assets across the lakehouse. With centralised controls, searchable metadata, and rich data lineage, it builds clarity and trust, enabling your teams to work more productively.

At Dufrain, we deliver Unity Catalog upgrades for clients alongside data management and governance strategies that reduce risk, maximise platform value, and drive growth. From architecture to user enablement, we’ll help you simplify governance, accelerate insight, and unlock the full capability of Databricks.

 

Databricks Unity Catalog

Unity Catalog Implementation & Migration

Lay the groundwork for a future-proof governance model.

With expert Unity Catalog setup and migration, we’ll help you move data assets, permissions, and controls into Unity Catalog without disrupting your business. Our tailored implementation accelerates value realisation, giving you centralised governance across clouds and workspaces, and full visibility of your data.

Data Cataloguing & Metadata Management

Turn chaos into clarity with a structured, searchable metadata strategy.

We tag and classify datasets, including Critical Data Elements and PII, enrich metadata for better context, and build an intelligent, AI-ready catalogue aligned to your business goals.

Data Management & Governance Operations

We embed sustainable governance across your data lifecycle.

That includes role-based security, data quality monitoring and clear ownership.

By tracking health and performance statistics, we help you strengthen trust in your data, reduce compliance risks, and ensure governance is embedded, not just implemented.

Why Unity Catalog matters

Area Without
Unity Catalog		 With
Unity Catalog
Data access
Inconsistent rules,
hard to control access
Simple, consistent access
across teams
Data discovery
Users waste time
finding the right data

Trusted, labelled data
is easy to search
Ownership
Unclear who owns what
Clear owners = better accountability
Security
Risk of leaks or
unauthorised access
Strong permissions
managed centrally
Data quality
No visibility
into reliability
Data health and
freshness indicators
Auditing
No trail of changes
Full audit trail for access and edits
Compliance
Manual
policy reporting
Built-in tracking, tagging,
and policy enforcement
Collaboration
Different teams,
different versions
One trusted source
for everyone
Feature access
Some Databricks
features unavailable
Full platform enablement
with Unity Catalog
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Your Questions, Answered.

Our Databricks Experts

Kate Elsden - Databrick Partner and Alliances Lead
Kate Elsdon
Databricks Partner and Alliances Lead
Isobel Daley - Head of AI
Isobel Daley
Head of AI
Lalith Korae
Lalith Korae
Head of Data Foundations
Calum Roach - Head of Databricks - Data Management & Governance
Calum Roach
Head of Databricks - Data Management & Governance
Junaid Sharif - Head of Databricks Architecture
Junaid Sharif
Head of Databricks Architecture

All set to make your data AI-ready?

In one conversation, we’ll explore your challenges, share ideas, and leave you with clear next steps – questions to spark internal discussions and practical ways to progress your data and AI journey with confidence.

Let’s talk

Victoria Whittacker - Head of Business Development
Victoria Whittaker

Head of Business Development

CALL US ON 0800 130 3656