Join discussions on data governance practices, compliance, and security within the Databricks Community. Exchange strategies and insights to ensure data integrity and regulatory compliance.
Here are some authoritative resources and best-practice references for the Databricks security model and governance:
Official Documentation
Databricks on AWS Security & Compliance Covers authentication, access control, networking, encryption, secret management, and compliance frameworks. Read here
Azure Databricks Security & Compliance Includes identity management, private connectivity, encryption, and compliance features for Azure environments. Read here
Security Best Practices
Databricks Security Best Practices (Trust Center) Provides a checklist, threat models, and Terraform templates for secure deployments across AWS, Azure, and GCP. View Best Practices
Detailed Blog: Security Best Practices for Databricks Lakehouse Explains defense-in-depth strategies, identity controls, encryption, and network isolation. Read Blog
AWS-specific Best Practices Includes least privilege IAM, encryption, network isolation, and compliance readiness. Explore AWS Best Practices
Unity Catalog Governance & Security
Unity Catalog Best Practices Guidelines for identity provisioning, privilege management, and secure object ownership. Read here
Microsoft Learn Path: Implement Data Governance & Security with Unity Catalog Step-by-step modules for configuring isolation, lineage, and advanced security. Start Learning
Compliance & Governance
Data Governance with Unity Catalog Explains hierarchical privilege models, ABAC, and fine-grained access control. Read here
Very broad Qs and you have already received reply for the various reference materials. Please share the specific scenario if you are looking for a pointed guideance from the community ๐
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