SQL is dead. The future is MapReduce.
Ok, we need SQL on Hadoop. Here's Hive.
Hive is too slow. The future is Spark.
OK, we need SQL on Spark. Here's Spark SQL.
Notice a pattern?
Teradata had this figured out in the 1980s. I wrote the full timeline.
The 15-Year Detour: How the Data Industry Spent Billions Reinventing SQL
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