You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@kylin.apache.org by sh...@apache.org on 2017/04/17 03:07:47 UTC
kylin git commit: Minor update in use case
Repository: kylin
Updated Branches:
refs/heads/document e1ac3f1b0 -> c4bab4e47
Minor update in use case
Project: http://git-wip-us.apache.org/repos/asf/kylin/repo
Commit: http://git-wip-us.apache.org/repos/asf/kylin/commit/c4bab4e4
Tree: http://git-wip-us.apache.org/repos/asf/kylin/tree/c4bab4e4
Diff: http://git-wip-us.apache.org/repos/asf/kylin/diff/c4bab4e4
Branch: refs/heads/document
Commit: c4bab4e47db880f0f48f8e925a135066aa7b5b3b
Parents: e1ac3f1
Author: shaofengshi <sh...@apache.org>
Authored: Mon Apr 17 11:07:42 2017 +0800
Committer: shaofengshi <sh...@apache.org>
Committed: Mon Apr 17 11:07:42 2017 +0800
----------------------------------------------------------------------
website/community/poweredby.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/kylin/blob/c4bab4e4/website/community/poweredby.md
----------------------------------------------------------------------
diff --git a/website/community/poweredby.md b/website/community/poweredby.md
index 195d314..d9ed2a5 100644
--- a/website/community/poweredby.md
+++ b/website/community/poweredby.md
@@ -42,4 +42,4 @@ __Companies & Organizations__
* [LeEco](http://www.leeco.com/)
* Apache Kylin has been used as a part of OLAP engine and data query engine for big data platform at LeEco, which is powering various big data business, such as stream media data and cloud data.
* [Toutiao](https://www.toutiao.com/)
- * As the most popular mobile news app in China, Toutiao has over 600 million active users, 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). Another point is, Kylin reduces the pressure of our Hadoop cluster. This is what called "build once, use many".
+ * As the most popular mobile news app in China, Toutiao has over 78 million daily active users, 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".