databricks-unity-catalog

Query and govern Unity Catalog system tables and volumes.

31|18|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/ThomazRossito/data-agents --skill databricks-unity-catalog-thomazrossito
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-unity-catalog
Source: https://github.com/ThomazRossito/data-agents/tree/main/skills/databricks/databricks-unity-catalog
Command: npx skills add https://github.com/ThomazRossito/data-agents --skill databricks-unity-catalog-thomazrossito

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Unity Catalog governance and data-management tasks can require cross-referencing system tables, lineage data, audit logs, and volume operations. This skill consolidates guidance and practical examples to navigate Unity Catalog resources efficiently.

Core Features & Use Cases

  • System Tables, Volumes, Lineage, Audit, Billing, Compute, Jobs, Query History coverage.
  • Volume operations: read, write, and manage data in Unity Catalog Volumes (/Volumes).
  • Use Cases: Audit, lineage analysis, cost analysis, data governance, and performance monitoring.

Quick Start

Query system tables and inspect a sample volume to validate Unity Catalog governance in your Databricks workspace.

Frequently Asked Questions about databricks-unity-catalog

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query Unity Catalog system tables for audit logs and billing data?

Query Unity Catalog system tables to access audit logs and billing data by consolidating cross-referenced examples, providing practical SQL queries to navigate and extract governance information efficiently.

Can I manage data in Unity Catalog volumes using this approach?

Yes, you can manage data in Unity Catalog volumes (/Volumes) by reading, writing, and operating on volume-based data workflows using the consolidated guidance and practical operations provided.

What is the best way to trace data lineage in a Databricks workspace?

Tracing data lineage in Databricks involves querying Unity Catalog system tables to cross-reference lineage data, enabling visibility into data origins and transformations across your workspace.

Does this work for cost analysis and performance monitoring in Unity Catalog?

Yes, this works for cost analysis and performance monitoring by querying Unity Catalog system tables to analyze billing, compute usage, jobs, and query history data.

Do I need a specific Databricks workspace setup to use Unity Catalog governance?

You need a Databricks workspace with Unity Catalog enabled to use this governance approach, as it relies on accessing system tables, volumes, and lineage data specific to Unity Catalog.