From 91743034fe9e582cc526bb87eb493a10d8da1e60 Mon Sep 17 00:00:00 2001
From: Patrick Wendell <pwendell@apache.org>
Date: Mon, 3 Feb 2014 08:23:41 +0000
Subject: "We're" -> "We are"

---
 site/news/index.html                | 2 +-
 site/news/spark-0-9-0-released.html | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

(limited to 'site')

diff --git a/site/news/index.html b/site/news/index.html
index debb72a1b..dcb8c194d 100644
--- a/site/news/index.html
+++ b/site/news/index.html
@@ -164,7 +164,7 @@
       <h3 class="entry-title"><a href="/news/spark-0-9-0-released.html">Spark 0.9.0 released</a></h3>
       <div class="entry-date">February 2, 2014</div>
     </header>
-    <div class="entry-content"><p>We&#8217;re happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
+    <div class="entry-content"><p>We are happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
 Spark 0.9.0</a>! Spark 0.9.0 is a major release and Spark&#8217;s largest release ever, with contributions from 83 developers. 
 This release expands Spark&#8217;s standard libraries, introducing a new graph computation package (GraphX) and adding several new features to the machine learning and stream-processing packages. It also makes major improvements to the core engine,
 including external aggregations, a simplified H/A mode for long lived applications, and 
diff --git a/site/news/spark-0-9-0-released.html b/site/news/spark-0-9-0-released.html
index d47f288f4..21a047741 100644
--- a/site/news/spark-0-9-0-released.html
+++ b/site/news/spark-0-9-0-released.html
@@ -160,7 +160,7 @@
     <h2>Spark 0.9.0 released</h2>
 
 
-<p>We&#8217;re happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
+<p>We are happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
 Spark 0.9.0</a>! Spark 0.9.0 is a major release and Spark&#8217;s largest release ever, with contributions from 83 developers. 
 This release expands Spark&#8217;s standard libraries, introducing a new graph computation package (GraphX) and adding several new features to the machine learning and stream-processing packages. It also makes major improvements to the core engine,
 including external aggregations, a simplified H/A mode for long lived applications, and 
-- 
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