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It used to be black and white. If you needed MapReduce processing, you chose Hadoop; if you needed standard query and reporting, you chose a SQL data warehouse. The decision is no longer clear cut. With YARN clearing the way for Hadoop to accept multiple workloads, Hadoop is no longer your father’s MapReduce machine – as frameworks are rapidly emerging for interactive SQL, search, streaming and other workloads. We are on the path toward a federated world of analytic and operational decision stores, but as the boundaries between platform types grow fuzzier, deciding what platforms to use and where to run which workloads grow trickier.