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Introduction Oracle Analytics Cloud is often discussed in the context of semantic models, dashboards and AI assistants, while Oracle AI Data Platform is increasingly discussed in the context of data platform, governance and catalog capabilities. Connecting Oracle Analytics Cloud to the Oracle AI Data Platform catalog helps bring these worlds together. It allows analytics users to discover and work with catalogued data assets more directly, while aligning Oracle Analytics more closely with the broader governed enterprise data ecosystem. In this post, I will walk through the process of connecting Oracle Analytics Cloud to the Oracle AI Data Platform catalog, show what the connection looks like in practice, and highlight a few observations along the way. What This Connection Enables At a practical level, connecting OAC to the AIDP catalog can help with several things:
This is not just a connection exercise. It is also part of bringing Oracle Analytics more directly into the wider enterprise data and AI landscape. Prerequisites Before starting the connection, make sure the following are in place:
Depending on your environment, you may also need to confirm whether there are region-specific, network or policy constraints that could affect connectivity. Step 1: Start the Connection in OAC Begin in Oracle Analytics Cloud and open the Create menu in the top-right corner. From there, select Connection. This is the entry point for creating new source and platform connections in OAC. Step 2: Retrieve the Connection Details from AIDP Before completing the connection in OAC, go to Oracle AI Data Platform Workbench and navigate to the relevant workspace and compute instance. Open the Connection details tab and, under Connect with BI Tool, select Oracle Analytics Cloud. This is where AIDP exposes the connection details needed by OAC. In practice, this step is easy to overlook, but it is central to the whole setup. Step 3: Select the Oracle AI Data Platform Connection Type in OAC Return to Oracle Analytics Cloud and create a new connection. In the connection type dialog, search for Oracle AI Data Platform and select it. Once selected, OAC opens the connection form for the AIDP catalog connector. Step 4: Complete the Connection Form and Save Populate the connection form using the details obtained from AIDP. This includes:
Two details are especially worth noting here. First, you need to select the connection details file exported from AIDP. Second, you also need to provide the private API key separately. Once everything has been entered correctly, save the connection. This is one of the most important stages because even small mistakes in endpoints, permissions, fingerprints or authentication settings can prevent the connection from succeeding. Step 5: Create a Dataset from the New Connection After the connection has been created successfully, locate it in OAC, open the action menu, and select Create Dataset. This is the point where the connection moves from simple setup into practical use. Step 6: Select the AIDP Connection and Use the Exposed Assets In the Create Dataset dialog, select the newly created AIDP connection From there, OAC can begin to expose the catalogued assets available through the connection. This is where the setup becomes meaningful from an analytics perspective, because the governed assets surfaced through AIDP are now available for use in Oracle Analytics workflows. What Caught Me Out
A few things to look out for:
Why This Matters Architecturally Although this is a technical connection exercise, it matters for a broader reason. Connecting Oracle Analytics Cloud to the Oracle AI Data Platform catalog is part of bringing analytics closer to the wider governed enterprise data ecosystem. It strengthens the relationship between:
That matters because enterprise analytics increasingly needs to sit within a broader data and AI architecture, not outside it. Conclusion Connecting Oracle Analytics Cloud to the Oracle AI Data Platform catalog is a practical step towards a more integrated analytics and data platform experience. It allows OAC to participate more directly in the governed discovery and visibility of enterprise data assets, while bringing analytics users closer to the broader AIDP ecosystem.
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AuthorA bit about me. I am an Oracle ACE Pro, Oracle Cloud Infrastructure 2023 Enterprise Analytics Professional, Oracle Cloud Fusion Analytics Warehouse 2023 Certified Implementation Professional, Oracle Cloud Platform Enterprise Analytics 2022 Certified Professional, Oracle Cloud Platform Enterprise Analytics 2019 Certified Associate and a certified OBIEE 11g implementation specialist. Archives
March 2026
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