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Apache Spark has revolutionized big data analytics since its open-source release in 2010. Developed at UC Berkeley's AMPLab, Spark addressed the limitations of Hadoop MapReduce by introducing in-memory processing, which dramatically accelerates data computation. Unlike its predecessor that writes intermediate results to disk, Spark keeps data in RAM, making it up to 100 times faster for certain workloads. Here's a short essay: I notice you're asking