In this post we are going to show you how to configure WCS (Wizzie Community Stack) for a specific use case: real-time analytics on the game Counter Strike: Global Offensive. In the end we will get an information dashboard.
In this article we are going to see how to create such a Prozzie connector easily and quickly through scripting, and how to integrate it so that the information flow is indistinguishable from the already supported protocols.
Normalizer is a service based on the Kafka Streams library. This means we take advantages of this stream processing library, such as scalability and processing guarantees.
The Country 0.1.0 release opens up some platform components to build the Community Stack, composed of prozzie, Kafka, data pipeline components, druid and wizz-vis.
Data analytics will be at the center of new technologies. But how do you do analytics in a user friendly way? We, at wizzie, have been thinking the same. And we’ve found the answer…