"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."