Repository: kylin
Updated Branches:
  refs/heads/document 2d1b9c1ee -> d7507f217


udpate poweredby page


Project: http://git-wip-us.apache.org/repos/asf/kylin/repo
Commit: http://git-wip-us.apache.org/repos/asf/kylin/commit/d7507f21
Tree: http://git-wip-us.apache.org/repos/asf/kylin/tree/d7507f21
Diff: http://git-wip-us.apache.org/repos/asf/kylin/diff/d7507f21

Branch: refs/heads/document
Commit: d7507f2177a44083c3f81eb472e715a561f88704
Parents: 2d1b9c1
Author: shaofengshi <shaofeng...@apache.org>
Authored: Mon May 22 18:39:03 2017 +0800
Committer: shaofengshi <shaofeng...@apache.org>
Committed: Mon May 22 18:39:03 2017 +0800

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 website/community/poweredby.md | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/kylin/blob/d7507f21/website/community/poweredby.md
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diff --git a/website/community/poweredby.md b/website/community/poweredby.md
index 084299d..520e4d0 100644
--- a/website/community/poweredby.md
+++ b/website/community/poweredby.md
@@ -44,4 +44,9 @@ __Companies & Organizations__
 * [Toutiao](https://www.toutiao.com/)  
     * As the most popular mobile news app in China, Toutiao has over 78 
million daily active users (collected on Feb 2017), we need OLAP capability on 
**Trillion** level data, and only Kylin can fulfill. Take an example, the Cube 
for the videos analysis has more than 2.4 trillion source records, taking 4+ TB 
storage (source file more than 100 TB); Most of the queries can be finished in 
less than 1 second (same query need couple hours in Hive). From another 
perspective, Kylin reduces the pressure of our Hadoop cluster. This is what 
called "build once, use many".     
 * [Qunar](https://www.qunar.com)  (_NASDAQ:QUNR_)
-    * Apache Kylin is used at Qunar for Data Analysis Engine on 
Hadoop, which offers powerful OLAP capability for flight business with 
good performance.
\ No newline at end of file
+    * Apache Kylin is used at Qunar for Data Analysis Engine on 
Hadoop, which offers powerful OLAP capability for flight business with 
good performance.
+* [Strikingly](https://strikingly.com/) 
+    *  Strikingly adopted Kylin + AWS EMR solution. By adopting Kylin, the 
query performance was improved from 5 ~ 10 seconds to less than 1 second, and 
it can serve much more concurrent requests now. When workload and data 
increases, we just need add EMR nodes on demand then get capacity expanded. 
This architecture ensures we don't need worry about the data growth in next 
couple years.
+* [Yahoo! Japan](https://about.yahoo.co.jp/info/en/) 
+    *  Yahoo! JAPAN uses Apache Kylin to generate tailored report for Yahoo! 
Shopping. Apache Kylin contributes to minimize the latency for viewing the 
report. Consequently, the platform team has been released from ad hoc tasks to 
improve performance and it has become possible to focus on adding functions for 
users.
+

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