From ffd76ef6ab0fd44d22877110dea04196462042e2 Mon Sep 17 00:00:00 2001
From: Patrick Wendell <pwendell@apache.org>
Date: Fri, 12 Sep 2014 00:01:09 +0000
Subject: Minor typo's in the release post

---
 news/_posts/2014-09-11-spark-1-1-0-released.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'news')

diff --git a/news/_posts/2014-09-11-spark-1-1-0-released.md b/news/_posts/2014-09-11-spark-1-1-0-released.md
index 593d3659a..b9dfd5423 100644
--- a/news/_posts/2014-09-11-spark-1-1-0-released.md
+++ b/news/_posts/2014-09-11-spark-1-1-0-released.md
@@ -11,8 +11,8 @@ meta:
   _edit_last: '4'
   _wpas_done_all: '1'
 ---
-We are happy to announce the availability of <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release in API-compatible 1.X line. It is Spark's largest release ever, with contributions from 173 developers. 
+We are happy to announce the availability of <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark's largest release ever, with contributions from 173 developers!
 
-This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. This adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, and other feature and performance improvements. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module. 
+This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other feature and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module. 
 
 Visit the <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">release notes</a> to read about the new features, or <a href="{{site.url}}downloads.html">download</a> the release today.
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