In Spark 2.0, DataFrames and Datasets are unified. DataFrame is simply an alias for a Dataset of type row. I have few questions.
1) What does this really mean to an Application developer? 2) Why this unification was needed in Spark 2.0? 3) What changes can be observed in Spark 2.0 vs Spark 1.6? 4) Compile time safety will be there for DataFrames too? 5) Python API is supported for Datasets in 2.0? Thanks Arun
