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new da0746a update home page infomation
da0746a is described below
commit da0746aa855286f29d9d42857694036a3764b212
Author: rupengwang <wangrup...@livec.cn>
AuthorDate: Sat Oct 12 18:33:24 2019 +0800
update home page infomation
---
website/_docs/tutorial/cube_build_job.cn.md | 4 +--
website/assets/css/styles.css | 2 +-
website/assets/images/data.png | Bin 0 -> 211777 bytes
website/assets/js/main.js | 2 +-
website/index.md | 41 ++++++++++++++--------------
5 files changed, 25 insertions(+), 24 deletions(-)
diff --git a/website/_docs/tutorial/cube_build_job.cn.md
b/website/_docs/tutorial/cube_build_job.cn.md
index 17bc649..1a2c271 100644
--- a/website/_docs/tutorial/cube_build_job.cn.md
+++ b/website/_docs/tutorial/cube_build_job.cn.md
@@ -17,11 +17,11 @@ since: v0.7.1
2. 选择后会出现一个弹出窗口，点击 `Start Date` 或者 `End Date` 输入框选择这个增量 cube 构建的起始日期。
- 
+ 
3. 点击 `Submit` 提交请求。成功之后，你将会在 `Monitor` 页面看到新建的 job。
- 
+ 
4. 新建的 job 是 “pending” 状态；一会儿，它就会开始运行并且你可以通过刷新 web 页面或者点击刷新按钮来查看进度。
diff --git a/website/assets/css/styles.css b/website/assets/css/styles.css
index eabe631..37e9642 100644
--- a/website/assets/css/styles.css
+++ b/website/assets/css/styles.css
@@ -132,7 +132,7 @@ a:hover, a:focus {
**********************************************************************/
#head {
- background: #f4f4f4 url(../images/data.jpg) top center;
+ background: #f4f4f4 url(../images/data.png) top center;
background-size: cover;
color: #7C7C7C;
height: 520px;
diff --git a/website/assets/images/data.png b/website/assets/images/data.png
new file mode 100644
index 0000000..0aa1d7f
Binary files /dev/null and b/website/assets/images/data.png differ
diff --git a/website/assets/js/main.js b/website/assets/js/main.js
index 9cbaabe..af14ef7 100644
--- a/website/assets/js/main.js
+++ b/website/assets/js/main.js
@@ -43,7 +43,7 @@ jQuery(document).ready(function ($) {
}
if (logoTop > 0 && logoTop< currentPosition) {
- $('#intro_logo').addClass("animated fadeInRight");
+ //$('#intro_logo').addClass("animated fadeInRight");
} else {
$('#intro_logo').removeClass("animated fadeInRight");
}
diff --git a/website/index.md b/website/index.md
index e46e0e6..daf4dd8 100644
--- a/website/index.md
+++ b/website/index.md
@@ -9,11 +9,11 @@ title: OLAP engine for big data
<div id="zero" class=" main" >
<header style=" padding:2em 0 4em 0;">
<div class="container" >
- <h4 class="index-title"><span>Apache Kylin™ Overview</span></h4>
+ <h4 class="index-title"><span>Bring OLAP Back to Big
Data!</span></h4>
<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/Spark supporting extremely large
datasets, original contributed from eBay Inc.</p>
- <p class="title_text">Apache Kylin™ lets you query massively big
data set at sub-second latency in 3 steps.</p>
+ <p class="title_text">Apache Kylin™ is an open source
distributed analytical engine designed to provide OLAP (Online Analytical
Processing) capability in the big data era. By renovating the multi-dimensional
cube and precalculation technology on Hadoop and Spark, Kylin is able to
achieve near constant query speed regardless of the ever-growing data volume.
Reducing query latency from minutes to sub-second, Kylin brings online
analytics back to big data.</p>
+ <p class="title_text">Apache Kylin™ lets you query billions of
rows at sub-second latency in 3 steps.</p>
<div align="left">
<ol class="none-icon">
<li>
@@ -26,12 +26,12 @@ title: OLAP engine for big data
</li>
<li>
<span class="li-circle">3</span>
- Query with ANSI-SQL and get results in sub-second, via
ODBC, JDBC or RESTful API.
+ Query using ANSI-SQL and get results in sub-second, via
ODBC, JDBC or RESTful API.
</li>
</ol>
</div>
- <p class="title_text">Kylin offers integration capability with
data visualization softwares like Tableau, PowerBI, etc., which enables data
analysis with BI tools on Hadoop.</p>
- <img id="diagram" src="assets/images/kylin_diagram.png">
+ <p class="title_text">Apache Kylin™ can also integrate with your
favorite BI tools like Tableau and PowerBI etc., to enable <b>BI on
Hadoop</b>.</p>
+ <p class="title_text">Kylin is originally contributed from eBay
Inc. in 2015.</p>
</div>
</div>
</div>
@@ -44,8 +44,9 @@ title: OLAP engine for big data
<section id="second" class="main">
<header style="background-color:#efefef;">
<div class="container">
- <h4 class="index-title"><span> What is Kylin? </span></h4>
+ <h4 class="index-title"><span> Why Apache Kylin? </span></h4>
<img id="intro_logo" src="assets/images/kylin_logo.png">
+ <img src="assets/images/kylin_diagram.png">
<!-- second-->
<div class="row">
<div class="col-sm-8 col-md-8">
@@ -54,8 +55,8 @@ title: OLAP engine for big data
<div class="home-pic">
<img width="30" src="assets/images/icon_index_olap.png">
</div>
- <h6><b>Extremely Fast OLAP Engine for Big Data at Scale:
</b></h6>
- <div class="indent" style="margin-top: 25px">Kylin is designed
to reduce query latency on Hadoop/Spark for 10+ billions of rows of data</div>
+ <h6><b>Timely Decision Making on Big Data</b></h6>
+ <div class="indent" style="margin-top: 25px">Kylin can analyze
10+ billions of rows in less than a second. No more waiting on reports for
critical decisions.</div>
</div>
</div>
<div class="col-sm-6 col-md-6">
@@ -63,8 +64,8 @@ title: OLAP engine for big data
<div class="home-pic">
<img width="30" src="assets/images/icon_index_shape.png">
</div>
- <h6><b>Seamless Integration with BI Tools:</b></h6>
- <div class="indent">Kylin currently offers integration
capability with BI Tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and
SuperSet</div>
+ <h6><b>BI on Hadoop Accelerated</b></h6>
+ <div class="indent">Kylin connects data on Hadoop to BI tools
like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI
on Hadoop faster than ever.</div>
</div>
</div>
<div class="col-sm-6 col-md-6">
@@ -72,8 +73,8 @@ title: OLAP engine for big data
<div class="home-pic">
<img width="30" src="assets/images/icon_index_hadoop.png">
</div>
- <h6><b>ANSI SQL Interface for Big Data on Hadoop: </b></h6>
- <div class="indent" style="margin-top: 25px">As an OLAP
engine, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query
functions</div>
+ <h6><b>ANSI SQL Interface for Big Data on Hadoop</b></h6>
+ <div class="indent" style="margin-top: 25px">As an OLAP
engine, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query
functions.</div>
</div>
</div>
<div class="col-sm-6 col-md-6">
@@ -81,8 +82,8 @@ title: OLAP engine for big data
<div class="home-pic">
<img width="30" src="assets/images/icon_index_query.png">
</div>
- <h6><b>Interactive Query with Low Latency and High
Performance: </b></h6>
- <div class="indent" style="margin-top: 25px">Users can
interact with Hadoop data via Kylin at sub-second latency, better than Hive
queries for the same dataset</div>
+ <h6><b>Interactive Queries at High Concurrency</b></h6>
+ <div class="indent" style="margin-top: 25px">Kylin can support
thousands of interactive queries at the same time, thanks to the low resource
consumption of each query.</div>
</div>
</div>
<div class="col-sm-6 col-md-6">
@@ -90,8 +91,8 @@ title: OLAP engine for big data
<div class="home-pic">
<img width="30" src="assets/images/icon_index_streaming.png">
</div>
- <h6><b>Real-time OLAP for Streaming Big Data:</b></h6>
- <div class="indent">Kylin is able to compute streaming data
once it is generated, user is capable of doing real-time data analysis with
latencey on second level</div>
+ <h6><b>Real-time OLAP for Streaming Big Data</b></h6>
+ <div class="indent">Kylin is able to compute streaming data as
soon as it is generated, allowing real-time data analysis at second-level
latency.</div>
</div>
</div>
<div class="col-sm-6 col-md-6">
@@ -99,13 +100,13 @@ title: OLAP engine for big data
<div class="home-pic">
<img width="30" src="assets/images/icon_index_cube.png">
</div>
- <h6><b>MOLAP Cube:</b></h6>
- <div class="indent" style="margin-top: 25px">User can define a
data model and pre-build in Kylin with more than 10+ billions of raw data
records</div>
+ <h6><b>MOLAP Cube Precalculation</b></h6>
+ <div class="indent" style="margin-top: 25px">Analysts can
define their favorite multi-dimensional model and precalculate the cube in
Kylin.</div>
</div>
</div>
</div>
<div class="col-sm-4 col-md-4 card-l">
- <b>Other Highlights: </b> <br/>
+ <b>Other Highlights</b> <br/>
<ul class="indent">
<li>Job Management and Monitoring </li>
<li>Compression and Encoding Support </li>
