Real-time Stream Analytics and User Scoring Using Apache Druid, Flink & Cassandra at Deep.BI

Last October, we were honored to join the likes of Netflix, Alibaba, Salesforce, Airbus, Uber, Goldman Sachs, Yelp, Pinterest and many others presenting at Flink Forward in Berlin covering our area of expertise working with Apache Flink in combination with Apache Druid and Cassandra for real-time user and event scoring applications.

One of the hardest challenges we were able to tackle at Deep.BI is how to deliver customizable insights based on billions of data points in real-time, that fully scale from a single perspective up to millions of users.

At Deep.BI we track user habits, engagement, product and content performance — processing up to terabytes or billions of events of data daily. Our goal is to provide real-time insights based on custom metrics from a variety of self-created dimensions. The platform allows the performing of tasks from various domains such as adjusting websites using real-time analytics, running AI optimized marketing campaigns, providing a dynamic paywall based on user…