One of the most popular big data processing platforms, Spark, now supports one of the premier statistical programming languages, R, which could pave the way for easier big data statistical analysis.
Databricks wants to make it possible to take humans out of the loop entirely when it comes to running complicated data analysis jobs.
If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.
Taking on Google, Databricks plans to offer its own cloud service for analyzing live data streams, one based on the Apache Spark software.
The Apache Software Foundation has announced the first production-ready release of Spark, analysis software that could speed jobs that run on the Hadoop data-processing platform.
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