After Spark 2.0, RDDs are replaced by Dataset, which is strongly-typed like an RDD, but with richer optimizations.
Dataset is the Sparks primary abstraction of distributed collection of items. Datasets can be created from Hadoop InputFormats (such as HDFS files) or by transforming other Datasets.
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