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It provides an efficient, general-purpose framework for parallel execution. This is very useful in today's world where data analysis often requires the resources of a fleet of machines working together. While Spark is still relatively immature, it has the potential to evolve into the standard framework and API for parallel algorithmic analytics and machine learning. Today, Spark is part of Hadoop distributions and is widely associated with Hadoop.