Apr. 17, 2018
1:00-2:00 PM EDT
|Topic:||Introduction to building a distributed machine learning Pipeline for real time analysis of Uber data using Apache APIs: Kafka, Spark, and HBase|
Java Online Conference - With the Best
ABOUT THE TALK
In this talk we will look at a solution that combines real-time data streams with machine learning to analyze and visualize popular Uber trip locations in New York City. You will see the end-to-end process required to build this application using Apache APIs for Kafka, Spark, and HBase.
carol mcdonald, MapR Solutions Architect, specializing in Apache Kafka, Apache HBase, , , and machine learning in healthcare, finance, and telecom sectors