Streaming Stock Market Data with Apache Spark and Kafka

Video created by aalvarez on May 23, 2017

    Paul Curtis of MapR demonstrates at the 'Boston Hadoop User Group' on November 10th 2016 a processing engine for ingesting real time equity trades, bids and asks into streams at a high rate. The example application encompasses a multi-threaded Consumer microservice that indexes the trades by receiver and sender, example Spark code for querying the indexed streams at interactive speeds, enabling Spark SQL queries, and example code for persisting the streaming data to HBase tables.

     

    https://github.com/mapr-demos/finserv-application-blueprint