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From mujt...@apache.org
Subject svn commit: r1706938 - in /phoenix/site: publish/images/using/all.png publish/who_is_using.html source/src/site/markdown/who_is_using.md source/src/site/resources/images/using/all.png
Date Tue, 06 Oct 2015 00:11:59 GMT
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 @@
          &quot;Apache Phoenix is the foundation of our big data stack, allowing us to
run interactive queries against HBase data in a performant manner.&quot;
         </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>
          &quot;For us, the most valuable feature are index support and query convenience
for our HBase data processing.&quot;
         </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 Sj&ouml;gren, 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 /> Ren&eacute;
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>
          &quot;For us, the most valuable feature is the out of the box server side aggregations.&quot;
         </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 Sj&ouml;gren, 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.



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