Analysis of information sources in references of the Wikipedia article "Apache Spark" in English language version.
MLlib in R: SparkR now offers MLlib APIs [..] Python: PySpark now offers many more MLlib algorithms"
we highly recommend you to switch to use Dataset, which has better performance than RDD
Pregel and its little sibling aggregateMessages() are the cornerstones of graph processing in GraphX. ... algorithms that require more flexibility for the terminating condition have to be implemented using aggregateMessages()
re-use the same aggregates we wrote for our batch application on a real-time data stream
virtually all Spark code you run, where DataFrames or Datasets, compiles down to an RDD[permanent dead link ]
re-use the same aggregates we wrote for our batch application on a real-time data stream