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No need for .NET Events! A thread-safe, high performance & easy to use cross platform implementation of the Event Aggregator Pattern.
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
A tinny(~3kb) utility that can simplify cross window(iframes, workers, same origin windows) and electron main / renderer process communications
A thread-safe, high performance & easy to use implementation of the Event Aggregator Pattern.
Flink running on IBM Analytics Engine - Message Hub to COS S3