El Ghali Benchekroun

As OpenSharing deployments scale to more recipients, managing per-recipient IP allowlists and allowing direct storage access becomes a significant operational burden. It can also be a blocker for data providers that want to keep their storage hidden behind firewalls. This session covers how OpenSharing SecureConnect addresses this problem by introducing a Databricks-managed network intermediary that proxies storage access on behalf of recipients. Providers perform a one-time network configuration regardless of the number of recipients. SecureConnect then handles routing across AWS, Azure, and GCP without requiring storage to be exposed to the public internet. We'll cover the architecture, cloud-specific configuration patterns, and how SecureConnect offers private and simple data sharing at scale.

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