O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

This project implements a distributed K-means clustering algorithm using a custom-built MapReduce framework. It is designed to handle potentially large datasets by distributing the clustering workload across multiple processes or machines. Uses gRPC for the communication between mapper, reducer, master

Actyon offers an async approach on a multiplexed flux pattern.