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authorMatei Zaharia <matei@eecs.berkeley.edu>2013-02-26 22:52:38 -0800
committerMatei Zaharia <matei@eecs.berkeley.edu>2013-02-26 22:52:38 -0800
commit22334eafd96d0cb2b2206c9ad5b458bd8d91eb97 (patch)
treefaea2e8abac4038ac88cb15924a5708e5d7feb87 /docs/index.md
parent434a1ce7739b4f1abe93408edaff9388e480d806 (diff)
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title: Spark Overview
---
-{% comment %}
-TODO(andyk): Rewrite to make the Java API a first class part of the story.
-{% endcomment %}
-
Spark is a MapReduce-like cluster computing framework designed for low-latency iterative jobs and interactive use from an interpreter.
It provides clean, language-integrated APIs in [Scala](scala-programming-guide.html), [Java](java-programming-guide.html), and [Python](python-programming-guide.html), with a rich array of parallel operators.
-Spark can run on top of the [Apache Mesos](http://incubator.apache.org/mesos/) cluster manager,
-[Hadoop YARN](http://hadoop.apache.org/docs/r2.0.1-alpha/hadoop-yarn/hadoop-yarn-site/YARN.html),
-Amazon EC2, or without an independent resource manager ("standalone mode").
+Spark can run on top of the Apache Mesos cluster manager, Hadoop YARN, Amazon EC2, or without an independent resource manager ("standalone mode").
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