Data teams are under pressure to get trusted, analytics and AI-ready data into Databricks without building and maintaining fragile pipelines, copying data across environments, or losing governance along the way. Every extra copy introduces latency, drift, and risk—slowing down AI/ML projects and making it harder for business stakeholders to trust the results.
In this community show, we’ll walk through how Reltio Data Sharing with Databricks gives your teams near real-time access to unified Reltio profiles directly in Databricks via secure, zero-copy data sharing. You’ll see how trusted customer, product, and other core entity data can be published in near real-time from Reltio and consumed everywhere in Databricks.
In this session, you’ll learn:
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Why zero-copy data sharing beats copy-based ETL for analytics and AI.
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How Reltio Data Sharing with Databricks works under the hood, including Delta Sharing.
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Ways to expose unified entities, relationships, and interactions for BI, DS/ML, and GenAI workloads in Databricks.
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Best practices for structuring shared data so teams can query and build quickly.
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How to get started—from initial setup to onboarding new consumers—without creating another integration to maintain.
Whether you’re a data engineer, architect, or analytics/AI leader, this session will help you see how Reltio and Databricks together can accelerate time to insight while reducing operational burden and data risk.