AI Data Platform Series
This is summary blog post with references to posts published under AI Data Platform theme.
September 02, 2026
September 02, 2026
AI Data Platform Series: Setting Up the AI Data Platform Environment
This post backs up a step from the rest of the AI Data Platform series. Before any bronze/silver/gold Spark job can run, or a stream producer can hand data off to something downstream, the AI Data Platform (AIDP) environment itself has to exist: a Workbench, a workspace, a catalog, compute, and a place to keep secrets. This post walks through building all of that from nothing on a brand-new OCI tenancy, using the same TfL bus-arrivals demo's naming (catalog tfl, schemas bronze/silver/gold) as the throughline.
September 02, 2026
Connecting OPAF Chat to Oracle Analytics Cloud via MCP
This post explores how to connect Oracle AI Database Private Agent Factory (OPAF) with Oracle Analytics Cloud (OAC) using the Model Context Protocol (MCP). It walks through the OAuth configuration, MCP server setup, and Agent Builder flow needed to let a private OPAF agent query live, governed OAC subject areas. The result is an analytics-aware AI assistant that can discover metadata, generate Logical SQL, and answer questions using trusted enterprise data—without duplicating the semantic model or underlying data.
August 06, 2026
AI Data Platform Series: Just Streams: Real-Time Data Pipelines on OCI
Together with Sandi Holub, I presented "Just Streams: Real-Time Data Pipelines in OCI – With a Live Demo Twist" at the Make IT 2026 conference in Portorož (28 May 2026). Sandi and I actually first presented this same session at the UKOUG conference in Birmingham back in December 2025, but it's only now that I've found the time to write more about it.
We deliberately kept the slide deck short and let a live demo carry most of the session. This post is the written recap of that story, and also the opening post in a series where I'll break the solution down layer by layer.
July 15, 2026
Oracle Analytics meets AI Blog Series
This is a summary blog post with references to posts published under the Oracle Analytics Meets AI theme.
In this series, I am looking at how AI capabilities are becoming part of the Oracle Analytics experience: from asking questions in natural language, to using AI directly inside workbooks, and then extending the experience with more focused AI Agents.
July 15, 2026
Oracle Analytics meets AI: Working with AI Agents
This post explores how AI Assistant and AI Agents in Oracle Analytics Cloud (OAC) bring conversational analytics directly into the analytics experience. It shows how the AI Assistant supports natural-language exploration and visualization creation inside workbooks, while AI Agents extend this with dedicated instructions, business context, and knowledge documents. Together, they provide a path from quick conversational analysis to reusable, governed, domain-specific analytical assistants.
July 15, 2026
Oracle Analytics meets AI: Talk to Your Data with Ask BI
This post introduces Ask BI, Oracle Analytics Cloud’s conversational interface for exploring data using natural language. It shows how users can ask business questions, refine their analysis through follow-up prompts, and receive answers and visualizations based on governed OAC data. Ask BI makes analytics more accessible by allowing users to focus on the questions they want answered rather than on how to build the analysis.
July 09, 2026
Fixing ORA-12860 Deadlocks in Oracle AI Database Private Agent Factory on ADB
This post documents troubleshooting ORA-12860 deadlocks encountered while running Oracle AI Database Private Agent Factory (OPAF) ingestion workloads on Autonomous Database. It follows the investigation from recurring ingestion failures through database parallelism behavior and the eventual mitigation using NOPARALLEL settings and a logon trigger. The post also covers practical lessons from testing different ADB configurations and stabilizing the OPAF ingestion environment.