Real-time big data stream analytics and complex event detection
Ralf Klinkenberg · 2021
In many industry applications, larger and larger amounts of data become available, allowing to gain deeper insights, to generate more accurate forecats, to optimize and automate processes, and to thereby create significant value. Often the data is not static, but arrives continuously in large data streams, which ideally are processed and leveraged in real-time. This talk will present a modular and flexible platform for real-time big data stream processing, complex event detection, data science and machine learning with an easy-to-use visual process design user interface, seamlessly integrating the most relevant big data and stream processing frameworks (Hadoop, Spark, Spark Streaming, Kafka, Flink, etc.) within one unifying platform and user interface, based on the widely used data science platform RapidMiner.