VIDEO - Spark and MapR Streams: A Motivating Example

Video created by slimbaltagi on Aug 12, 2017

    "Businesses are discovering the untapped potential of large datasets and data streams through the use of technologies for big data processing and storage. By leveraging these assets they’re creating a new generation of applications that derive value from data they used to throw away.

    In this presentation given on March 21st 2017, Ian Downard at the Spark and MapR Streams: A Motivating Example - Portland Java User Group (PJUG) (Portland, OR) - Meetup shows how to build operational environments for these types of applications with the MapR Converged Data Platform and he describes examples of a next-generation applications that use Java APIs for MapR Streams, Apache Spark, Apache Hive, and MapR-DB. He shows how these technologies can be used to join and transform unbounded datasets to find signals and derive new data streams for a financial scenario involving real-time algorithmic trading and historical analysis using SQL. He also discusses how MapR enables you to run real-time data applications with the speed, reliability, and security you need for a production environment."