Java with the Best - Apr. 17, 2018

Document created by maprcommunity Employee on Apr 12, 2018Last modified by maprcommunity Employee on Apr 12, 2018
Version 2Show Document
  • View in full screen mode

SUMMARY

Date:

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
Registration:

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.

 

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

 

RELATED

kafka

spark

hbase

Attachments

    Outcomes