Session
Securing Data Collaboration: A Deep Dive Into Security, Frameworks, and Use Cases
Overview
Experience | In Person |
---|---|
Type | Deep Dive |
Track | Data Sharing and Collaboration |
Industry | Enterprise Technology, Retail and CPG - Food, Financial Services |
Technologies | Data Marketplace, Delta Sharing, Unity Catalog |
Skill Level | Advanced |
Duration | 90 min |
This session will focus on the security aspects of Databricks Delta Sharing, Databricks Cleanrooms and Databricks Marketplace, providing an exploration of how these solutions enable secure and scalable data collaboration while prioritizing privacy.
Highlights:
- Use cases — Understand how Delta Sharing facilitates governed, real-time data exchange across platforms and how Cleanrooms support multi-party analytics without exposing sensitive information
- Security internals — Dive into Delta Sharing's security frameworks
- Dynamic views — Learn about fine-grained security controls
- Privacy-first Cleanrooms — Explore how Cleanrooms enable secure analytics while maintaining strict data privacy standards
- Private exchanges — Explore the role of private exchanges using Databricks Marketplace in securely sharing custom datasets and AI models with specific partners or subsidiaries
- Network security & compliance — Review best practices for network configurations and compliance measures
Session Speakers
IMAGE COMING SOON
Bhavin Kukadia
/Work hard, have fun, make money
Databricks
Bilal Obeidat
/Principal Product Specialist
Databricks
El Ghali Benchekroun
/Specialist Solutions Architect
Databricks