Author: mujtaba
Date: Tue Oct 6 00:11:59 2015
New Revision: 1706938
URL: http://svn.apache.org/viewvc?rev=1706938&view=rev
Log:
Realign background alternate color on who is using page
Modified:
phoenix/site/publish/images/using/all.png
phoenix/site/publish/who_is_using.html
phoenix/site/source/src/site/markdown/who_is_using.md
phoenix/site/source/src/site/resources/images/using/all.png
Modified: phoenix/site/publish/images/using/all.png
URL:
http://svn.apache.org/viewvc/phoenix/site/publish/images/using/all.png?rev=1706938&r1=1706937&r2=1706938&view=diff
==============================================================================
Binary files - no diff available.
Modified: phoenix/site/publish/who_is_using.html
URL:
http://svn.apache.org/viewvc/phoenix/site/publish/who_is_using.html?rev=1706938&r1=1706937&r2=1706938&view=diff
==============================================================================
--- phoenix/site/publish/who_is_using.html (original)
+++ phoenix/site/publish/who_is_using.html Tue Oct 6 00:11:59 2015
@@ -147,7 +147,8 @@
<!-- First Column -->
<table border="0" class="bodyTable table table-striped table-hover">
<tbody>
- <tr class="b">
+ <tr class="b"></tr>
+ <tr class="a">
<td> <img src="images/using/sf.png" alt="" /> <br /><br /> In our
Force.com platform, we rely on Apache Phoenix to run interactive queries
against big data residing in HBase leveraging <br /><br />
<ul>
<li> multi-tenant tables for customization and scale out across our
diverse customer schemas</li>
@@ -158,22 +159,22 @@
"Apache Phoenix is the foundation of our big data stack,
allowing us to run interactive queries against HBase data in a performant
manner."
</blockquote> <br /> Steven Tamm, CTO </td>
</tr>
- <tr class="a">
+ <tr class="b">
<td> <img src="images/using/hw.png" alt="" /> <br /><br /> Hortonworks
supports Apache Phoenix as a feature rich ANSI SQL interface for Apache HBase
in Hortonworks Data Platform (HDP). It plays a critical role for our customers
who want diverse choice for data access in Hadoop and want a simple interface
to build low-latency, large scale applications. Critical features, such as
secondary indexing have made Phoenix the API of choice for building these HBase
applications. <br /><br /> Devaraj Das, Cofounder <br /> </td>
</tr>
- <tr class="b">
+ <tr class="a">
<td> <img src="images/using/cn.png" alt="" /> <br /><br /> At CertusNet
we utilize HBase for Gigabytes level data storage and processing per five
minutes. We found Phoenix most appropriate for easy-to-use sql layer and JDBC
query support, even more highlighting secondary-indexes support, cause we are
expecting both query performance and data manipulation load balancing for our
HBase processing architecture.<br />
<blockquote>
"For us, the most valuable feature are index support and query
convenience for our HBase data processing."
</blockquote><br /> Fulin Sun, Software Enginneer <br /></td>
</tr>
- <tr class="a">
+ <tr class="b">
<td> <img src="images/using/teoco.png" alt="" /> <br /><br /> TEOCO is
a leading provider of assurance and analytics solutions to communications
service providers worldwide.<br /> At Teoco we use Phoenix to provide fast
access to customers activity records. The system is required to manage tens of
billions of records per day.<br /><br /> Phoenix allows us easy and rapid
development using it's SQL interface while maintaining HBase performance and
throughput. It's saves the need to handle and manage lower level operations,
and allows clean and maintainable code.<br /><br /> Cahana Ori, Director of
Research and Development <br /></td>
</tr>
- <tr class="b">
+ <tr class="a">
<td> <img src="images/using/interset.png" alt="" /> <br /><br />
Interset lives at the intersection of analytics and cybersecurity, providing a
cyberattack threat detection solution that uses behavioral analytics, machine
learning and big data to protect critical data.<br /><br /> Phoenix allows us
to perform the dynamic and ad-hoc queries to build machine learning models that
represent normal activity, in order to detect abnormal, anomalous and risky
behaviors. With behavioral models and input features that vary across datasets,
the expressiveness of Phoenix's SQL interface becomes a critical, enabling and
accelerative technology that allows us to build threat detection models to keep
up with customer and market demand.<br /><br /> Stephan Jou, CTO <br /></td>
</tr>
- <tr class="a">
+ <tr class="b">
<td> <img src="images/using/pubmatic.png" alt="" /> <br /><br />
PubMatic utilizes Phoenix to improve the data analytics capabilities it
provides to a global roster of leading brands and over 40 of the comScore top
100 publishers. <br /><br />
<ul>
<li> Utilizing a combination of Phoenix and Hbase in an enterprise
data warehouse appliance with all the tenets of MPP architecture</li>
@@ -182,6 +183,9 @@
<li> With deep analytics, the company can make more intelligent
decisions, and analyze performance and alignment with business objectives</li>
</ul> Sudhir Kulkarni, VP of Data and Analytics <br /> </td>
</tr>
+ <tr class="a">
+ <td> <img src="images/using/dp.png" alt="" /> <br /><br /> At Delta
Projects we use Phoenix for storing data as a basis for measuring activities
and generating reports. We chose Phoenix because it provides the scalability of
HBase and the expressiveness of SQL.<br /><br /> Kristoffer Sjögren,
System Developer <br /></td>
+ </tr>
</tbody>
</table>
<!-- End First Column --> </td>
@@ -189,41 +193,39 @@
<!-- Second Column -->
<table border="0" class="bodyTable table table-striped table-hover">
<tbody>
- <tr class="a">
+ <tr class="a"></tr>
+ <tr class="b">
<td><br /> <img src="images/using/homeaway.png" alt="" /> <br /><br />
Apache Phoenix enables easy integration with HBase for systems that rely on
JDBC/SQL. HomeAway, the world leader in Vacation Rentals, leverages Phoenix as
a SQL abstraction for HBase's powerful columnar storage to generate statistics
for vacation rental owners on HomeAway's Owner Dashboard. These statistics help
HomeAway vacation rental owners gain key insights about the performance of
their vacation rental, how well it is doing against 'the market', and how well
it is doing historically.<br /><br /> From a pool of billions of records that
go back 2 years, HomeAway is able to serve up customer-facing webpages from
HBase, using Phoenix, in less than a second for the majority of our vacation
rental owners. With Phoenix and HBase, HomeAway is able to share the same
insight it has internally on the vacation rental market to its owners
empowering them with the necessary data to make the right decisions maximizi
ng their return on their vacation rental investment.<br /><br /> René
X. Parra, Principal Architect <br /></td>
</tr>
- <tr class="b">
+ <tr class="a">
<td> <img src="images/using/ss.png" alt="" /> <br /><br /> At Sift
Science we use Phoenix to power our OLAP infrastructure. This influences our
machine learning feature engineering which is critical in the model training
pipeline. Having a simple SQL-based interface also allows us to expose data
insights outside of the engineering organization. Finally, running Phoenix on
top of our existing HBase infrastructure gives us the ability to scale our
ad-hoc query needs. <br /><br /> Andrey Gusev, Tech Lead, Machine Learning
Infrastructure </td>
</tr>
- <tr class="a">
+ <tr class="b">
<td> <img src="images/using/ab.png" alt="" /> <br /><br /> At Alibaba
there're two main scenarios of using Phoenix:<br /><br />
<ol style="list-style-type: decimal">
<li> Large dataset with relatively small result set, say 10 thousands
of records or so. We choose to use Phoenix in this kind of scenario because
it's much more easier for user to use than HBase native api, meantime it
supports orderby/groupby syntax</li>
<li> Large dataset with large result set, it might be millions of
records in the result set even after PrimaryKey filter, and often along with
lots of aggregation/orderby/groupby invocation. We choose to use Pheonix in
this kind of scenario because Pheonix makes it possible to do complicated query
in HBase, and it supports more and more features in traditional DB like oracle,
which makes it much more easier for our user to migrate there BI query onto
HBase</li>
</ol> Jaywong, Software Engineer <br /></td>
</tr>
- <tr class="b">
+ <tr class="a">
<td> <img src="images/using/ebay.png" alt="" /> <br /><br /> We have
been exploring Phoenix since July, 2014 and have successfully achieved couple
of analytics use cases with huge data set. We were able to achieve read/write
performance in ms even slicing and dicing data in many dimensions.<br /><br />
<ol style="list-style-type: decimal">
<li> Path or Flow analysis<br /> This use case was very specific and
targeted for core mobile native apps where we were trying to find user behavior
with many dimension App, Version, device , OS version, carrier etc. This was
offline process where we process and aggregate daily data and load once in
phoenix schema.</li>
<li> Real Time analytics data trend.<br /> This is near real time
aggregation of tracking data to find trend of events with multi-dimensional. It
does write aggregated data to hBase + Phoenix continuously (at present
12k-15k/s records) and read for report generation at the same time.</li>
</ol> Jogendar Singh, Engineering Manager, Mobile Platform <br /></td>
</tr>
- <tr class="a">
+ <tr class="b">
<td><br /> <img src="images/using/ng.png" alt="" /> <br /><br /> Apache
Phoenix allows users of our customer analytics platform Lily to easily ingest
and manage customer fact data. Our users don't have to learn complex or
specific APIs for this, but can tap into a familiar competence: SQL. NGDATA is
happy to both use and contribute to the Apache Phoenix project, which proves to
be a solid choice backed by a great community on a day-to-day basis.<br /><br
/> Steven Noels, CTO <br /></td>
</tr>
- <tr class="b">
+ <tr class="a">
<td> <img src="images/using/pn.png" alt="" /> <br /><br /> Apache
Phoenix has helped us load and query hundreds of billions of records. The
salting and secondary indexes have saved considerable development time and the
SQL interface has been an easy entry point for developers.<br /><br /> Ralph
Perko, Software Architect/Developer <br /></td>
</tr>
- <tr class="a">
+ <tr class="b">
<td> <img src="images/using/sb.png" alt="" /> <br /><br /> At
Socialbakers we use Phoenix for on demand data aggregations. Because of the
floating time range of our custom reports we aggregate hundreds of megabytes
per request on the server side. Phoenix can handle those requests with low
latency and high throughput. It also provides an easy to use SQL interface and
helps us build scalable and highly available applications quickly and
reliably.<br /><br />
<blockquote>
"For us, the most valuable feature is the out of the box server
side aggregations."
</blockquote><br /> Martin Homolka, CTO <br /></td>
</tr>
- <tr class="b">
- <td> <img src="images/using/dp.png" alt="" /> <br /><br /> At Delta
Projects we use Phoenix for storing data as a basis for measuring activities
and generating reports. We chose Phoenix because it provides the scalability of
HBase and the expressiveness of SQL.<br /><br /> Kristoffer Sjögren,
System Developer <br /></td>
- </tr>
</tbody>
</table>
<!-- End Second Column --> </td>
Modified: phoenix/site/source/src/site/markdown/who_is_using.md
URL:
http://svn.apache.org/viewvc/phoenix/site/source/src/site/markdown/who_is_using.md?rev=1706938&r1=1706937&r2=1706938&view=diff
==============================================================================
--- phoenix/site/source/src/site/markdown/who_is_using.md (original)
+++ phoenix/site/source/src/site/markdown/who_is_using.md Tue Oct 6 00:11:59
2015
@@ -7,6 +7,7 @@
<td>
<!--First Column-->
<table>
+<tr></tr>
<tr><td>
<img src="images/using/sf.png"/>
@@ -116,12 +117,24 @@ Sudhir Kulkarni, VP of Data and Analytic
<br/>
</td></tr>
+<tr><td>
+<img src="images/using/dp.png"/>
+<br/><br/>
+
+At Delta Projects we use Phoenix for storing data as a basis for
+measuring activities and generating reports. We chose Phoenix because
+it provides the scalability of HBase and the expressiveness of SQL.<br/><br/>
+
+Kristoffer Sjögren, System Developer
+<br/></td></tr>
+
</table>
<!--End First Column-->
</td>
<td>
<!--Second Column-->
<table>
+<tr></tr>
<tr><td><br/>
<img src="images/using/homeaway.png"/>
@@ -260,17 +273,6 @@ aggregations."</blockquote><br/>
Martin Homolka, CTO
<br/></td></tr>
-<tr><td>
-<img src="images/using/dp.png"/>
-<br/><br/>
-
-At Delta Projects we use Phoenix for storing data as a basis for
-measuring activities and generating reports. We chose Phoenix because
-it provides the scalability of HBase and the expressiveness of SQL.<br/><br/>
-
-Kristoffer Sjögren, System Developer
-<br/></td></tr>
-
</table>
<!--End Second Column-->
</td>
Modified: phoenix/site/source/src/site/resources/images/using/all.png
URL:
http://svn.apache.org/viewvc/phoenix/site/source/src/site/resources/images/using/all.png?rev=1706938&r1=1706937&r2=1706938&view=diff
==============================================================================
Binary files - no diff available.
