Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
MapReduce vs. Apache Spark vs. SQL: Your questions answered here and at #StrataHadoop
As the big data era continues to evolve, Hadoop remains the workhorse for distributed computing environments. MapReduce has been the dominant workload in Hadoop, but Spark -- due to its superior in-memory performance -- is seeing rapid acceptance and growing adoption. As the Hadoop ecosystem matures, users need the flexibility to use either traditional MapReduce
