Learn about the updates: Patterns and Best Practices for Reltio Data Sharing with Databricks
Since our January community show on Reltio Data Sharing with Databricks, we have seen strong interest and engagement from customers and teams looking to maximize the value of this capability. These conversations have surfaced valuable insights, successful patterns, and practical approaches to getting the most out of data sharing.
In this follow-up session on Wednesday, May 13, 2026 at 10:30 am ET, Ankur Gupta will highlight what’s new, reinforce proven best practices, and share key learnings from real-world implementations. The session will focus on how teams are successfully sharing trusted Reltio data with Databricks in a governed, scalable way.
Reltio Data Sharing with Databricks enables Databricks users to access live, governed Reltio data through delta sharing, allowing teams to work with unified entity, relationship, and interaction data in near real time, without duplicating storage or relying on copy-based pipelines. As adoption grows, organizations are refining their approaches to data freshness, governance, schema design, and operational readiness - unlocking even greater value from this integration.
In this session, you’ll learn:
-
What’s changed since the January session and the key updates that matter most today
-
Proven best practices for using data sharing to power analytics and AI/ML workloads
-
Practical insights from real-world implementations and how teams are successfully adopting data sharing
-
Ways to reduce operational complexity and accelerate time to insight with a more streamlined approach
If you joined us in January, this session will build on that foundation with updated guidance and a more practical, experience-driven perspective on how to successfully put data sharing into action.