Žiga Vaupot's Blog

This year, I had the pleasure of joining the UKOUG Discover 2025 conference — a fantastic gathering of Oracle professionals, engineers, and data enthusiasts. Even more exciting, I had the opportunity to co-present with my colleague Sandi Holub , delivering what was (probably) one of the most hands-on sessions of the entire event. Our session, titled Just Streams: Real-Time Data Pipelines in OCI (with a Live Demo Twist) , focused on exactly that: no slides, no theoretical diagrams — just real data in motion . A Session Built on Real-Time Everything We set out to demonstrate what becomes possible when you combine streaming data, cloud-native services, and a bit of creativity. The entire session was built around real, public data from Transport for London (TfL) and showcased two live demonstrations: Real-Time Bus Tracking and Arrival Analysis We ingested live bus arrival data into OCI Streaming , processed it with OCI Data Flow (Apache Spark), and pushed curated results...

Unlocking Oracle Analytics Cloud with AI: MCP for Oracle Analytics The Challenge: Bridging gaps between AI and Enterprise Analytics Over the last year or so, we’ve seen a major shift in how we understand and use analytics systems—especially in the enterprise world. Modern BI platforms have grown more capable, and AI models have matured at an incredible pace. Expectations have evolved with them. Users now want answers instantly, workflows that feel effortless, and insights that surface proactively, not after a dozen filters, clicks, and exports. Oracle Analytics has already embraced this direction with features like Insights and the AI Assistant, which bring intelligence directly into the analytical experience. These tools help users explore data more intuitively, explain trends in plain language, and flag anomalies before they become issues. They’ve raised the bar for what “AI in analytics” should look like. ...