Is this compatible with Unity Catalog?

Absolutely, all patterns, SQL functions, and Python workflows are specifically designed for implementation within the Databricks Unity Catalog framework.

Can it help with compliance audits?

Yes, it features automated workflows for conducting quarterly access reviews and enforcing least-privilege principles to satisfy audit requirements.

Does this skill support Row-Level Security?

Yes, it provides several patterns for regional access control, multi-tenant isolation, and department-based filtering.

How does it handle sensitive data like PII?

It includes dynamic column masking functions to redact or partially mask sensitive fields based on user group membership.

What is the primary focus of this skill?

It focuses on implementing comprehensive access control patterns like RBAC and ABAC within the Databricks Unity Catalog environment.

Databricks Access Management

Name: Databricks Access Management
Author: vivekgana

byvivekgana

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安全与测试

Implements robust governance frameworks using RBAC, ABAC, and fine-grained security controls within Databricks Unity Catalog.

关于

This skill provides a comprehensive toolkit for managing data access and security within Databricks environments. It simplifies the implementation of Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), while offering advanced patterns for row-level security and dynamic column masking. Designed for data engineers and security architects, it automates standard role assignments, enforces the principle of least privilege, and facilitates automated access reviews, ensuring that sensitive data remains protected and compliant with organizational governance policies.

主要功能

Conditional column masking functions for PII and sensitive data protection
Automated workflows for quarterly access reviews and least privilege enforcement
Pre-defined RBAC frameworks for data consumers, producers, and stewards
2 GitHub stars
Dynamic Attribute-Based Access Control (ABAC) policy generation
Advanced Row-Level Security patterns for regional and multi-tenant isolation

使用场景

Establishing a multi-tenant data platform with strict isolation between customer datasets
Automating security compliance audits through systematic access review workflows
Implementing regional data residency and access controls for global enterprise organizations

关于

主要功能

Conditional column masking functions for PII and sensitive data protection
Automated workflows for quarterly access reviews and least privilege enforcement
Pre-defined RBAC frameworks for data consumers, producers, and stewards
2 GitHub stars
Dynamic Attribute-Based Access Control (ABAC) policy generation
Advanced Row-Level Security patterns for regional and multi-tenant isolation

使用场景

Establishing a multi-tenant data platform with strict isolation between customer datasets
Automating security compliance audits through systematic access review workflows
Implementing regional data residency and access controls for global enterprise organizations