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From build...@apache.org
Subject svn commit: r842377 - in /websites/staging/crunch/trunk/content: ./ crunch/index.html
Date Fri, 14 Dec 2012 18:13:10 GMT
Author: buildbot
Date: Fri Dec 14 18:13:08 2012
New Revision: 842377

Log:
Staging update by buildbot for crunch

Modified:
    websites/staging/crunch/trunk/content/   (props changed)
    websites/staging/crunch/trunk/content/crunch/index.html

Propchange: websites/staging/crunch/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Fri Dec 14 18:13:08 2012
@@ -1 +1 @@
-1422001
+1422019

Modified: websites/staging/crunch/trunk/content/crunch/index.html
==============================================================================
--- websites/staging/crunch/trunk/content/crunch/index.html (original)
+++ websites/staging/crunch/trunk/content/crunch/index.html Fri Dec 14 18:13:08 2012
@@ -7,7 +7,7 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <meta http-equiv="Content-Language" content="en" />
 
-    <title>Apache Crunch - Apache Crunch &lt;span&gt;&amp;trade;&lt;/span&gt;</title>
+    <title>Apache Crunch - Apache Crunch</title>
 
     <link rel="stylesheet" href="/crunch/css/bootstrap-2.1.0.min.css" />
     <link rel="stylesheet" href="/crunch/css/crunch.css" type="text/css">
@@ -115,7 +115,7 @@
         <!-- CONTENT AREA -->
         <div class="span10">
           <h1 class="title">
-            Apache Crunch &lt;span&gt;&amp;trade;&lt;/span&gt;
+            Apache Crunch
             
               <small>Simple and Efficient MapReduce Pipelines</small>
             
@@ -130,7 +130,7 @@ easy to test, and efficient to run.</p>
 </blockquote>
 <hr />
 <p>Running on top of <a href="http://hadoop.apache.org/mapreduce/">Hadoop MapReduce</a>,
the Apache
-Crunch library is a simple Java API for tasks like joining and data aggregation
+Crunch <span>&trade;</span> library is a simple Java API for tasks like joining
and data aggregation
 that are tedious to implement on plain MapReduce. The APIs are especially useful when
 processing data that does not fit naturally into relational model, such as time series,
 serialized object formats like protocol buffers or Avro records, and HBase rows and columns.



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