Streaming analytics puts data in motion at Strata + Hadoop 2016

While the volume of data today often gets a lot of fanfare, the velocity of that data -- how quickly it's generated, captured and handled -- continues to gain attention, as seen at Strata + Hadoop World 2016 in San Jose, Calif., where streaming data tools and technologies were prominent. The event showed that Hadoop-based big data implementations increasingly include the Apache Kafka messaging system and the Spark data processing engine's Spark Streaming module. Both technologies have become more prevalent, as developers build data pipelines that go beyond original batch-oriented Hadoop designs and approach real-time streaming analytics capabilities.