Databricks / Unity Catalog
Databricks offering · Simplify data governance

Databricks Unity Catalog Implementation

Our Databricks Unity Catalog Implementation Solution offers organizations a comprehensive approach to unify data governance and maximize the value of their data assets. This solution provides significant business value by enhancing data security, improving data discovery, and streamlining compliance efforts across your lakehouse.

Person surrounded by streams of digital data
Lakehouse vision

One platform to unify all your data, analytics, and AI workloads.

Databricks Data Intelligence Platform: data warehouse and data lake sources feed Delta Lake, Unity Catalog for unified security, governance, and cataloging, and the Data Intelligence Engine, powering Mosaic AI, Delta Live Tables, Workflows, and Databricks SQL for business intelligence, SQL analytics, data science and ML, and data streaming
Unity Catalog capabilities

How Unity Catalog solves each business problem.

Access controls

Implement fine-grained access controls and centralized governance to protect sensitive data assets. Unity Catalog offers a single place to administer these data access policies that apply to the entire organization.

Data discovery

Unity Catalog lets you tag and document data assets, and provides a search interface to help data consumers find data. This is possible across structured and unstructured data, ML models, notebooks, and dashboards.

Governance and compliance

Unity Catalog’s robust permissions, lineage tracing, and tagging capabilities can be used to support and enforce data privacy and regulatory compliance-related governance policies.

Data auditing

Unity Catalog automatically captures user-level audit logs that record access to your data. Unity Catalog also captures lineage data that tracks how data assets are created and used across all languages.

Our approach

A proven approach, adapted to your complexity.

Infinitive tailors its proven Unity Catalog approach to clients’ unique needs, adapting it according to complexity and enterprise requirements.

Phase 1Assess and plan
  • Gather requirements
  • Run assessment
  • Review results
  • Tailor migration plan
Phase 2Setup and design
  • Account-level setup
  • Architecture design
  • Create metastore
Phase 3Migrate
  • Create catalog and schemas
  • Sync legacy metadata
  • Upgrade tables and views
  • Create access controls
Phase 4Test and validate
  • Validate objects
  • Test access controls
  • Prep go-live plan
Phase 5Go live
  • Production migration
  • Documentation handoff
  • Project close
Path to success

Get started. Speak with a Databricks expert.

Bring your current governance, access, and compliance requirements. We’ll help plan a Unity Catalog implementation that fits your complexity.