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 Few new applications today use the Resilient Distributed Dataset (RDD), which have largely been replaced by DataFrames.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 ...

Spark today support both flavors of Dataframes, in R and Python Pandas, as well as Dataframes for Scala. Dataframes today supports Spark’s machine learning and SQL libraries, and will support the ...

Learn how dataframes have become a staple element in data science libraries and frameworks, and why developers love them.