Monitoring Real-Time Uber Data Using Spark Machine Learning, Streaming, and the Kafka API (Part 1)

Data Discovery: The first phase involves analysis on historical data to build the machine learning model. Analytics Using the Model: The second phase uses the model in production on live events. Data Discovery: The first phase involves analysis on historical data to build the machine learning model. Analytics Using the Model: The second phase uses the model in production on live events. In this first post, I'll help you get started using Apache Spark's machine learning K-means algorithm to cluster Uber data based on location.