We created RDD using the SparkContext; this was widely used in Spark 1.x. We also demonstrated a way to create Dataset in Spark 2.0 using the Session object. The conversion back and forth is necessary to deal with pre-Spark 2.0 code in production today.
The technical message from this recipe is that while DataSet is the preferred method of data wrangling going forward, we can always use the API to go back and forth to RDD and vice versa.
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