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| author | Andy Konwinski <andrew@apache.org> | 2013-08-23 17:30:50 +0000 |
|---|---|---|
| committer | Andy Konwinski <andrew@apache.org> | 2013-08-23 17:30:50 +0000 |
| commit | ea682987be267f03b00ae06404d10af5d19687d2 (patch) | |
| tree | 326719bef15afcdd1e7208f559706aefe66c637a /site | |
| parent | 844260ca2688d12dbc5336d01254bb817957370f (diff) | |
| download | spark-website-ea682987be267f03b00ae06404d10af5d19687d2.tar.gz spark-website-ea682987be267f03b00ae06404d10af5d19687d2.tar.bz2 spark-website-ea682987be267f03b00ae06404d10af5d19687d2.zip | |
Update first instance of 'Spark' to be 'Apache Spark'
Diffstat (limited to 'site')
| -rw-r--r-- | site/index.html | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/site/index.html b/site/index.html index cfd0f4da7..01c1092a2 100644 --- a/site/index.html +++ b/site/index.html @@ -108,8 +108,8 @@ <div id="content" role="main"> <article class="page type-page status-publish hentry"> - <h2 id="what-is-spark">What is Spark?</h2> -<p>Spark is an open source cluster computing system that aims to make data analytics <em>fast</em> — both fast to run and fast to write. + <h2 id="what-is-apache-spark">What is Apache Spark?</h2> +<p>Apache Spark is an open source cluster computing system that aims to make data analytics <em>fast</em> — both fast to run and fast to write. To run programs faster, Spark provides primitives for in-memory cluster computing: your job can load data into memory and query it repeatedly much more quickly than with disk-based systems like Hadoop MapReduce. To make programming faster, Spark provides clean, concise APIs in <a href="http://www.scala-lang.org" onclick="javascript:_gaq.push(['_trackEvent','outbound-article','http://www.scala-lang.org']);">Scala</a>, <a href="/docs/latest/quick-start.html#a-standalone-job-in-java">Java</a> and <a href="/docs/latest/quick-start.html#a-standalone-job-in-python">Python</a>. You can also use Spark interactively from the Scala and Python shells to rapidly query big datasets.</p> |