SUMMARY
Date: | Feb. 23, 2018 1:15PM Eastern |
Topic: | Introduction to building a distributed machine learning Pipeline for real time analysis of Uber data using Apache APIs: Kafka, Spark, and HBase |
Registration: |
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.
SPEAKER
carol mcdonald, MapR Solutions Architect, specializing in Apache Kafka, Apache HBase, Apache Drill, Apache Spark, and machine learning in healthcare, finance, and telecom sectors