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Lecture Notes in Computer Science
Spark has emerged as an easy to use, scalable, robust and fast system for analytics with a rapidly growing and vibrant community of users and contributors. It is multipurpose-with extensive and modular infrastructure for machine learning, graph processing, SQL, streaming, statistical processing, and more. Its rapid adoption therefore calls for a performance assessment suite that supports agile development, measurement, validation, optimization, configuration, and deployment decisions across adoi:10.1007/978-3-319-31409-9_3 fatcat:koanet7fdfdfnegkhujk3pj27q