Today, if events change the decision model, we wait until the next batch model build for new insights. By extending fast “time-to-decisions” into the world of Big Data Analytics to get fast “time-to-insights”, apps will get what used to be batch insights in near real time. The technology enabling this includes smart in-memory data storage, new storage class memory, and products designed to do one or more parts of an analysis pipeline very well. In this talk we describe how Ampool is building on Apache Geode to allow Big Data analysis solutions to work together with a scalable smart storage class memory layer to allow fast and complex end-to-end pipelines to be built -- closing the loop and providing dramatically lower time to critical insights.
8. What ENABLERS can help here?
In-Memory Fabric Technology
• Apache Geode!
• Flexible, stable, and proven distributed in-memory technology
New memory technologies and fast network fabrics
• Storage Class Memory
• low latency, high throughput, persistent
• Initially exposed via file system interface
• Regular or memory mapped