Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

The Apache Spark community has improved support for Python to such a great degree over the past few years that Python is now a “first-class” language, and no longer a “clunky” add-on as it once was, ...

The June update to Apache Spark brought support for R, a significant enhancement that opens the big data platform to a large audience of new potential users. Support for R in Spark 1.4 also gives ...