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| author | Patrick Wendell <pwendell@apache.org> | 2014-02-03 08:21:13 +0000 |
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| committer | Patrick Wendell <pwendell@apache.org> | 2014-02-03 08:21:13 +0000 |
| commit | 4d3c3750df6af496afbc5f8ec2a23514327e1f8d (patch) | |
| tree | fed6724bf02ef2eae916111ad68eb2df34d26799 /site/news/run-spark-and-shark-on-amazon-emr.html | |
| parent | ffa89cfbb0887db1e53b4e774359003daae7a62c (diff) | |
| download | spark-website-4d3c3750df6af496afbc5f8ec2a23514327e1f8d.tar.gz spark-website-4d3c3750df6af496afbc5f8ec2a23514327e1f8d.tar.bz2 spark-website-4d3c3750df6af496afbc5f8ec2a23514327e1f8d.zip | |
Updates for Spark 0.9.0 release.
Diffstat (limited to 'site/news/run-spark-and-shark-on-amazon-emr.html')
| -rw-r--r-- | site/news/run-spark-and-shark-on-amazon-emr.html | 8 |
1 files changed, 4 insertions, 4 deletions
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’re very excited because, to our knowledge, this makes Spark the first non-Hadoop engine that you can launch with EMR.</p> <p> |