How does this skill help with regulatory compliance?

It provides specific frameworks for GDPR and HIPAA, including data inventory tagging, right-to-erasure workflows, and technical safeguards for encryption and auditing.

Does it support row-level security and column masking?

Yes, it includes detailed patterns and function templates for implementing dynamic row-level filtering and column masking based on user roles and attributes.

What is the primary focus of this Claude Code skill?

The skill focuses on providing best practices, SQL/Python patterns, and implementation guidance for Unity Catalog governance, covering security, permissions, and compliance.

Can I use this for multi-environment setups?

Absolutely. It contains dedicated patterns for environment isolation, helping you manage separate dev, staging, and production catalogs within a single metastore.

Databricks Unity Catalog Governance

Name: Databricks Unity Catalog Governance
Author: vivekgana

byvivekgana

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数据库管理

Implements secure, enterprise-grade data governance frameworks and access control models within the Databricks Unity Catalog environment.

This skill provides a comprehensive toolkit for architecting and managing data governance within Databricks using Unity Catalog. It offers specialized patterns for implementing sophisticated security models, including Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and fine-grained security like row-level filtering and column masking. Designed for data engineers and platform architects, the skill facilitates the creation of compliant data environments through automated classification, auditing workflows, and structured isolation patterns for development and production workloads. It is particularly useful for organizations needing to align their data lakehouse with strict regulatory standards like GDPR or HIPAA while maintaining high operational efficiency.

主要功能

012 GitHub stars

02Comprehensive security architecture for catalogs, schemas, tables, and volumes.

03Automated data classification and sensitive data tagging (PII/PHI).

04Integrated audit logging and access review automation for data stewards.

05Pre-built compliance frameworks for GDPR and HIPAA regulatory alignment.

06Dynamic Row-Level Security (RLS) and Column Masking implementation patterns.

使用场景

01Designing a secure Medallion architecture with multi-layer environment isolation.

02Automating regulatory compliance audits and permissions lifecycle management.

03Implementing dynamic PII masking and regional data access controls.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vivekgana/databricks-platform-marketplace unity-catalog-governance

For use in Claude.ai and ChatGPT

Download Skill