AI Data Platform Series
This is summary blog post with references to posts published under AI Data Platform theme.
This is summary blog post with references to posts published under AI Data Platform theme.
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.

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.