_a-tutorial-for-spark-and-mapr-streams.jpg "A Tutorial for Spark and MapR Streams from join in sql tutorial Video Screenshot Preview")
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⏲ Duration: 58 min 39 sec
✓ Published: 23-Mar-2017
✓ Published: 23-Mar-2017
Description:
In this presentation Ian Downard discusses how to build operational environments for applications that process unbounded datasets through the use of big data processing and storage. He explains the benefits of using MapR for applications like these and he walks through three sample applications that demonstrate the use of Java APIs for MapR Streams, Apache Spark, Apache Hive, and MapR-DB. He explains how these technologies can be used to join and transform unbounded datasets to find signals and
In this presentation Ian Downard discusses how to build operational environments for applications that process unbounded datasets through the use of big data processing and storage. He explains the benefits of using MapR for applications like these and he walks through three sample applications that demonstrate the use of Java APIs for MapR Streams, Apache Spark, Apache Hive, and MapR-DB. He explains how these technologies can be used to join and transform unbounded datasets to find signals and
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