Real-Time PostgreSQL + CDC Architecture for Spatial Analytics and AI in an AI Data Cloud
Join us for an insightful session titled From Milliseconds to Insights: Real-Time PostgreSQL + CDC Architecture for Spatial Analytics and AI in an AI Data Cloud, led by Kamesh Sampath, Developer Advocate at Snowflake, author, and long-time open source contributor with over two decades of experience in enterprise software.
In this session, you’ll explore how to unify low-latency operational workloads with scalable analytics and AI within a single production-ready architecture.
Operational systems demand millisecond-level spatial processing, while analytical and AI workloads require scale. Most teams struggle to support both without maintaining parallel systems. This session presents a proven, open source pattern that connects PostgreSQL and PostGIS with Apache-based real-time Change Data Capture (CDC) and an open analytics platform to seamlessly stream, enrich, and analyze spatial data.
What you’ll learn:
How to stream changes from PostgreSQL using WAL-based CDC without custom code
Transforming and enriching PostGIS data for machine learning
Applying real-time predictive techniques to spatial workloads
Leveraging NLP to generate insights from streaming data
Visualizing end-to-end results using a reproducible open source architecture
Whether you're a developer, data engineer, AI practitioner, or architect, this session will equip you with practical strategies to move from raw operational changes to actionable intelligence in real time.
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