From 4d3c3750df6af496afbc5f8ec2a23514327e1f8d Mon Sep 17 00:00:00 2001
From: Patrick Wendell <pwendell@apache.org>
Date: Mon, 3 Feb 2014 08:21:13 +0000
Subject: Updates for Spark 0.9.0 release.

---
 site/news/run-spark-and-shark-on-amazon-emr.html | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

(limited to 'site/news/run-spark-and-shark-on-amazon-emr.html')

diff --git a/site/news/run-spark-and-shark-on-amazon-emr.html b/site/news/run-spark-and-shark-on-amazon-emr.html
index 85359af28..dc1529a2a 100644
--- a/site/news/run-spark-and-shark-on-amazon-emr.html
+++ b/site/news/run-spark-and-shark-on-amazon-emr.html
@@ -124,6 +124,9 @@
       <h5>Latest News</h5>
       <ul class="list-unstyled">
         
+          <li><a href="/news/spark-0-9-0-released.html">Spark 0.9.0 released</a>
+          <span class="small">(Feb 02, 2014)</span></li>
+        
           <li><a href="/news/spark-0-8-1-released.html">Spark 0.8.1 released</a>
           <span class="small">(Dec 19, 2013)</span></li>
         
@@ -133,9 +136,6 @@
           <li><a href="/news/announcing-the-first-spark-summit.html">Announcing the first Spark Summit: December 2, 2013</a>
           <span class="small">(Oct 08, 2013)</span></li>
         
-          <li><a href="/news/spark-0-8-0-released.html">Spark 0.8.0 released</a>
-          <span class="small">(Sep 25, 2013)</span></li>
-        
       </ul>
       <p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p>
     </div>
@@ -160,7 +160,7 @@
     <h2>Spark/Shark Tutorial for Amazon EMR</h2>
 
 
-<p>This weekend, Amazon posted an <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">article</a> and code that make it easy to launch Spark and Shark on Elastic MapReduce. The article includes examples of how to run both interactive Scala commands and SQL queries from Shark on data in S3. Head over to the <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">Amazon article</a> for details. We’re very excited because, to our knowledge, this makes Spark the first non-Hadoop engine that you can launch with EMR.</p>
+<p>This weekend, Amazon posted an <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">article</a> and code that make it easy to launch Spark and Shark on Elastic MapReduce. The article includes examples of how to run both interactive Scala commands and SQL queries from Shark on data in S3. Head over to the <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">Amazon article</a> for details. We&#8217;re very excited because, to our knowledge, this makes Spark the first non-Hadoop engine that you can launch with EMR.</p>
 
 
 <p>
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