Repository: kylin
Updated Branches:
  refs/heads/document a7596cc74 -> 2271aeb93


update website


Project: http://git-wip-us.apache.org/repos/asf/kylin/repo
Commit: http://git-wip-us.apache.org/repos/asf/kylin/commit/2271aeb9
Tree: http://git-wip-us.apache.org/repos/asf/kylin/tree/2271aeb9
Diff: http://git-wip-us.apache.org/repos/asf/kylin/diff/2271aeb9

Branch: refs/heads/document
Commit: 2271aeb93077985dc2957f3ebea7da8918a12972
Parents: a7596cc
Author: shaofengshi <shaofeng...@apache.org>
Authored: Fri Jul 29 10:26:13 2016 +0800
Committer: shaofengshi <shaofeng...@apache.org>
Committed: Fri Jul 29 10:26:13 2016 +0800

----------------------------------------------------------------------
 website/_dev/howto_release.md | 16 ++++++++--------
 website/index.md              |  8 ++++----
 2 files changed, 12 insertions(+), 12 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/kylin/blob/2271aeb9/website/_dev/howto_release.md
----------------------------------------------------------------------
diff --git a/website/_dev/howto_release.md b/website/_dev/howto_release.md
index 998b2f8..dbbd9ba 100644
--- a/website/_dev/howto_release.md
+++ b/website/_dev/howto_release.md
@@ -434,7 +434,7 @@ After publish the release, you need to manually update some 
source code:
 Refer to [How to document](howto_docs.html) for more detail.
 
 ## Send announcement mail to mailing list
-Send one mail with subject like "[Announce] Apache Kylin x.y released" to 
following list:
+Send one mail with subject like "[Announce] Apache Kylin x.y.z released" to 
following list:
 
 * Apache Kylin Dev mailing list: d...@kylin.apache.org
 * Apache Kylin User mailing list: u...@kylin.apache.org
@@ -444,9 +444,9 @@ Please notice to always use your Apache mail address to 
send this;
 Here is a sample of announcement email (by studying Kafka's):
 
 {% highlight text %} 
-The Apache Kylin team is pleased to announce the immediate availability of the 
1.5.2.1 release. 
+The Apache Kylin team is pleased to announce the immediate availability of the 
x.y.z release. 
 
-This is a bug fix release based on 1.5.2; All of the changes in this release 
can be found:
+This is a bug fix release based on 1.5.2; All of the changes in this release 
can be found in:
 https://kylin.apache.org/docs15/release_notes.html
 
 You can download the source release and binary packages from 
@@ -456,12 +456,12 @@ More information about the binary packages is on Kylin's 
download page https://k
 
 Apache Kylin is an open source Distributed Analytics Engine designed to 
provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop, 
supporting extremely large datasets.
 
-Apache Kylin lets you query big Hive tables at sub-second latency in 3 simple 
steps:
-1. Identify a set of Hive tables in star schema.
-2. Build Cube from the Hive tables in an offline batch process (MR or Spark).
-3. Query the tables with ANSI-SQL and get results in sub-seconds to seconds, 
via ODBC, JDBC or RESTful API.
+Apache Kylin lets you query massive data set at sub-second latency in 3 steps:
+1. Identify a Star Schema data on Hadoop.
+2. Build Cube on Hadoop.
+3. Query data with ANSI-SQL and get results in sub-second, via ODBC, JDBC or 
RESTful API.
 
-Thanks everyone who have contributed to the 1.5.2.1 release.
+Thanks everyone who have contributed to the x.y.z release.
 
 We welcome your help and feedback. For more information on how to
 report problems, and to get involved, visit the project website at

http://git-wip-us.apache.org/repos/asf/kylin/blob/2271aeb9/website/index.md
----------------------------------------------------------------------
diff --git a/website/index.md b/website/index.md
index 1222fcc..8c61624 100644
--- a/website/index.md
+++ b/website/index.md
@@ -13,12 +13,12 @@ title: Home
           <div class="row" style="margin-top:-20px;">
             <div class="col-sm-12 col-md-12">              
               <p class="title_text">Apache Kylin™ is an open source 
Distributed Analytics Engine designed to provide SQL interface and 
multi-dimensional analysis (OLAP) on Hadoop supporting extremely large 
datasets, original contributed from eBay Inc.</p>
-              <p class="title_text">Apache Kylin™ lets you query big Hive 
tables at sub-second latency in 3 simple steps.</p>
+              <p class="title_text">Apache Kylin™ lets you query massive 
data set at sub-second latency in 3 steps.</p>
               <div align="left">
                 <ol>
-                  <li>Identify a set of Hive tables in star schema.</li>
-                  <li>Build a cube from the Hive tables in an offline batch 
process.</li>
-                  <li>Query the Hive tables using SQL and get results in 
sub-seconds, via Rest API, ODBC, or JDBC.</li>
+                  <li>Identify a Star Schema data on Hadoop.</li>
+                  <li>Build Cube on Hadoop.</li>
+                  <li>Query data with ANSI-SQL and get results in sub-second, 
via ODBC, JDBC or RESTful API.</li>
                 </ol>
               </div>
               <img id="diagram" src="assets/images/kylin_diagram.png">

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