A Paper A Week, Spark, Big Data.
RDD that it can not reconstruct after a failure. RDDs are lazy and ephemeral. They are constructed on demand and discarded after use. This allows for pipelining of many operations. For example: rawData = spark.textfile(filepath) // read data from file dataAfterApplyingFirstFilter =