Data Sharing is making data available to other users – inside or outside your organization – to facilitate collaboration, improve business processes, expand business opportunities, or just make data available across siloed systems. Data Sharing is as old as computer technology and an essential component of any IT architecture beyond a single computer or system.
Oracle Autonomous Database supports the Delta Sharing protocol as a Data Provider and a Data Recipient, enabling secure and seamless data exchange with Oracle and external non-Oracle systems like PowerBI, Spark, Pandas, and others. Using Delta Sharing, Autonomous Database users can easily share data across various platforms and applications.
Whenever you need to share data with external systems - PowerBI, Spark, Pandas, and others - there’s no need to push or duplicate data; with Delta Sharing, a single dataset can be shared and simultaneously consumed by a variety of Delta Sharing clients (recipients), simplifying cross-environment integration and collaboration.
Conversely, when external systems, like Databricks, share data with Autonomous Database, you can consume data from these platforms, allowing organizations to combine their data assets with external ones.
Join us in this session to find out more.
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