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This document mainly talks about using Apache Spark for big data processing - Part 1: Getting Started; Apache Spark is a big data processing framework built around speed, ease of use and complex analysis. It was originally developed by AMPLab at the University of California, Berkeley, in 2009, and became one of Apache's open source projects in 2010.
In this first part of the Apache Spark article series, we will learn what Spark is, how it compares to typical MapReduce solutions, and how it provides a complete set of tools for big data processing. I hope this document will help friends in need; interested friends can come and take a look
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