Unity Catalog Governance Pack

€39

Production-ready governance templates for Databricks Unity Catalog. Implement enterprise-grade data governance in hours, not months. RBAC, data classification, GDPR/CCPA compliance, security patterns, automation, and Terraform deployment.

📁 23 files🏷 v1.0.0

DatabricksUnity CatalogTerraformGDPRCCPASecurity

📁 File Structure 23 files

unity-catalog-governance-pack/ ├── README.md ├── LICENSE │ ├── rbac/ │ ├── role_definitions.yaml │ ├── permission_matrix.yaml │ ├── setup_roles.sql │ ├── setup_roles.py │ └── audit_permissions.py │ ├── classification/ │ ├── classification_framework.yaml │ ├── apply_tags.sql │ ├── pii_scanner.py │ ├── pii_patterns.yaml │ └── classification_report.py │ ├── compliance/ │ ├── gdpr/ │ │ ├── right_to_deletion.py │ │ ├── data_portability.py │ │ ├── consent_tracking.sql │ │ └── data_subject_request.py │ └── ccpa/ │ ├── do_not_sell.py │ └── data_disclosure.py │ ├── security/ │ ├── row_level_security.sql │ └── column_masking.sql │ ├── automation/ │ ├── tag_propagation.py │ ├── governance_scanner.py │ ├── policy_enforcer.py │ └── governance_dashboard.py │ └── terraform/ └── main.tf

📖 Documentation Preview README excerpt

Overview

A complete, ready-to-deploy governance framework for Databricks Unity Catalog environments covering RBAC, data classification, compliance, security, automation, and IaC.

What's Included

RBAC — Five-tier role hierarchy (admin, engineer, analyst, viewer, service_account) with SQL and Python automation
Data Classification — Four-tier framework (Public, Internal, Confidential, Restricted) with automated PII scanning
Compliance — GDPR (right to erasure, data portability, consent tracking) and CCPA (opt-out, data disclosure)
Security — Row-level security, column masking (SHA-256, redaction, partial), network isolation guides
Automation — Tag propagation, governance scanner, policy enforcer, dashboard metrics
Terraform — Complete IaC module for deploying the entire governance framework

Deployment Timeline

Phase 1: Foundation (Week 1) — Deploy Terraform, configure RBAC. Phase 2: Classification (Week 2) — PII scanning, tagging. Phase 3: Compliance (Week 3) — GDPR/CCPA handlers. Phase 4: Automation (Week 4) — Scanner, enforcer, dashboards.

📄 Code Sample .yaml preview

rbac/role_definitions.yaml # Unity Catalog RBAC - Role Definitions # ======================================== # Five-tier role hierarchy for enterprise data governance. # Customize members and descriptions for your organization. metadata: version: "1.0.0" organization: "your-org" last_updated: "2026-01-01" description: "Role hierarchy for Unity Catalog governance" # Role hierarchy (highest to lowest privilege) # Each role inherits permissions from all roles below it. roles: admin: level: 5 display_name: "Data Platform Admin" description: > Full metastore and catalog management. Can create/drop catalogs, manage groups, configure storage credentials. inherits_from: ["engineer"] group_name: "uc-admins" max_members: 5 requires_approval: true mfa_required: true engineer: level: 4 display_name: "Data Engineer" description: > Create and modify schemas, tables, views, and functions. Can manage Delta table properties, run OPTIMIZE and VACUUM. inherits_from: ["analyst"] group_name: "uc-engineers" ... remaining roles in full product

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