databricks-unity-catalog
Unity Catalog system tables and volumes.
Skill by ThomazRossito
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
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What's inside
- Skill name
databricks-unity-catalog- Description
- Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volume file operations (upload, download, list files in /Volumes/).
- License
- MIT
- Instructions
- 104 lines in SKILL.md · view on GitHub
Files (4)
- 5-system-tables.md
- 6-volumes.md
- 7-data-profiling.md
- SKILL.md
SKILL.md (first lines)
# Unity Catalog
Guidance for Unity Catalog system tables, volumes, and governance.
## When to Use This Skill
Use this skill when:
- Working with **volumes** (upload, download, list files in `/Volumes/`)
- Querying **lineage** (table dependencies, column-level lineage)
- Analyzing **audit logs** (who accessed what, permission changes)
- Monitoring **billing and usage** (DBU consumption, cost analysis)
- Tracking **compute resources** (cluster usage, warehouse metrics)
- Reviewing **job execution** (run history, success rates, failures)
- Analyzing **query performance** (slow queries, warehouse utilization)
- Profiling **data quality** (data profiling, drift detection, metric tables)
## Reference Files
| Topic | File | Description |
|-------|------|-------------|
| System Tables | [5-system-tables.md](5-system-tables.md) | Lineage, audit, billing, compute, jobs, query history |
| Volumes | [6-volumes.md](6-volumes.md) | Volume file operations, permissions, best practices |
| Data Profiling | [7-data-profiling.md](7-data-profiling.md) | Data profiling, drift detection, profile metrics |
## Quick Start
### Volume File Operations (MCP Tools)
| Tool | Usage |
|------|-------|
| `list_volume_files` | `list_volume_files(volume_path="/Volumes/catalog/schema/volume/path/")` |
| `get_volume_folder_details` | `get_volume_folder_details(volume_path="catalog/schema/volume/path", format="parquet")` - schema, row counts, stats |
| `upload_to_volume` | `upload_to_volume(local_path="/tmp/data/*", volume_path="/Volumes/.../dest")` |
| `download_from_volume` | `download_from_volume(volume_path="/Volumes/.../file.csv", local_path="/tmp/file.csv")` |
| `create_volume_directory` | `create_volume_directory(volume_path="/Volumes/.../new_folder")` |
### Enable System Tables Access
```sql
-- Grant access to system tables
GRANT USE CATALOG ON CATALOG system TO `data_engineers`;
GRANT USE SCHEMA ON SCHEMA system.access TO `data_engineers`;
GRANT SELECT ON SCHEMA system.access TO `data_engineers`;
```
### Common Queries
```sql
-- Table lineage: What tables feed into this table?
SELECT source_table_full_name, source_column_name
FROM system.access.table_lineage
WHERE target_table_full_name = 'catalog.schema.table'
AND event_date >= current_date() - 7;
-- Audit: Recent permission changes
SELECT event_time, user_identity.email, action_name, request_params
FROM system.access.audit
WHERE action_name LIKE '%GRANT%' OR action_name LIKE '%REVOKE%'
ORDER BY event_time DESC
LIMIT 100;
-- Billing: DBU usage by workspace
SELECT workspace_id, sku_name, SUM(usage_quantity) AS total_dbus
FROM system.billing.usage
WHERE usage_date >= current_date() - 30
GROUP BY workspace_id, sku_name;
```
## MCP Tool Integration
Use `mcp__databricks__execute_sql` for system table queries:
```python
# Query lineage
mcp__databricks__execute_sql(
sql_query="""
SELECT source_table_full_name, target_table_full_name
FROM system.access.table_lineage
WHERE event_date >= current_date() - 7
""",
catalog="system"
)
```
## Best Practices
1. **Filter by date** - System tables can be large; always use date filters
2. **Use appropriate retention** - Check your workspace's retention settings
3. **Grant minimal access** - System tables contain sensitive metadata
4. **Schedule reports** - Create scheduled queries for regular monitoring
## Related Skills
- **[databricks-spark-declarative-pipelines](../databricks-spark-declarative-pipelines/SKILL.md)** - for pipelines that write to Unity Catalog tables
- **[databricks-jobs](../databricks-jobs/SKILL.md)** - for job execution data visible in system tables
- **[databricks-synthetic-data-gen](../databricks-synthetic-data-gen/SKILL.md)** - for generating data stored in Unity Catalog Volumes
- **[databricks-aibi-dashboards](../databricks-aibi-dashboards/SKILL.md)** - for building dashboards on top of Unity Catalog data
## Resources
- [Unity Catalog System Tables](https://docs.databricks.com/administration-guide/system-tables/)
- [Audit Log Reference](https://docs.databricks.com/administration-guide/account-settings/audit-logs.html)From ThomazRossito/data-agents, MIT.
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Signals
- Stars
- 32
- Forks
- 18
- Open issues
- 0
- Last commit (this folder)
- May 5, 2026 (5 months ago)
- Last release
- Apr 18, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ThomazRossito/data-agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
databricks-unity-catalog skill. Agent Mart. https://agentmart.dev/skills/thomazrossito-databricks-unity-catalog (last updated 2026-10-24)