Spark has evolved considerably since the early days. Few new applications today use the Resilient Distributed Dataset (RDD), which have largely been replaced by DataFrames. In concert with the shift ...

The Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...

Spark also provides many language choices, including Scala, Java, Python, and R. The 2015 Spark Survey that polled the Spark community shows particularly rapid growth in Python and R.