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Apache Spark

Apache Spark is an open-source engine for distributed data processing, developed at UC Berkeley and released in 2010.

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Apache Spark is a large-scale distributed data processing engine developed by Matei Zaharia and others at UC Berkeley’s AMPLab and released as open source in 2010. It is maintained by the Apache Software Foundation. Spark processes data in parallel across many computers and provides components for SQL analytics, streaming and machine learning.

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Apache Spark, a system for processing large datasets, read 396,404 records from those files and identified 2,241 distinct sessions.

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