Azure Databricks Security Best Practices for Enterprise Analytics and AI

Dive into a 24-minute technical session exploring enterprise-level security best practices for Azure Databricks deployments. Learn how to implement robust security measures for large-scale analytics and AI solutions, covering topics from Role-Based Access Control (RBAC) to network isolation. Explore Azure-specific features integrated into the Azure Databricks security model, and gain insights on deploying, managing, and operating a secure analytics and AI environment. Discover key aspects of Azure Databricks architecture, security challenges, and enterprise requirements. Examine essential security components including Azure Active Directory integration, virtual networks, secure cluster connectivity, Private Link support, token management API, customer-managed keys, and audit logging. Witness a practical demonstration and access additional resources to enhance your understanding of Azure Databricks security implementation.

Introduction
Azure Databricks
Security Challenges
What Enterprises Want
Azure Database Architecture
Azure Database Security
Azure Active Directory
Virtual Networks
Secure Cluster Connectivity
Private Link Support
Token Management API
Customer Managed Keys
Audit Logging
Certifications
Demo
Summary
Additional Resources
Outro