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From dsetrak...@apache.org
Subject svn commit: r1664213 - /incubator/ignite/site/trunk/features.html
Date Thu, 05 Mar 2015 03:23:48 GMT
Author: dsetrakyan
Date: Thu Mar  5 03:23:48 2015
New Revision: 1664213

URL: http://svn.apache.org/r1664213
Log:
fixing examples

Modified:
    incubator/ignite/site/trunk/features.html

Modified: incubator/ignite/site/trunk/features.html
URL: http://svn.apache.org/viewvc/incubator/ignite/site/trunk/features.html?rev=1664213&r1=1664212&r2=1664213&view=diff
==============================================================================
--- incubator/ignite/site/trunk/features.html (original)
+++ incubator/ignite/site/trunk/features.html Thu Mar  5 03:23:48 2015
@@ -384,34 +384,28 @@ under the License.
         <section id="datastreaming" class="feature-section">
             <h2>Streaming</h2>
             <p>
-                Streaming processing addresses a large family of applications for which traditional
processing methods
-                and disk-based storages, like databases or file systems, fall short. Such
applications are pushing
-                the limits of traditional data processing infrastructures.
-            </p>
-            <img src="images/in_memory_streaming.png"/>
-            <p>
-                Streaming support allows to query into rolling windows of coming data, and
enable users to answer
-                such questions as “What are the 10 most popular products over last 2
hours?”, or “What is the average
-                product price in a certain category for the past day?”.<br/><br/>
-                Another most common use case for stream processing is the ability to control
and properly pipeline
-                distributed events workflow. As events are coming into the system at high
rates, the processing of
-                events is split into multiple stages and each stage has to be properly routed
within a
-                cluster for processing.
+                Streaming support allows to query into sliding windows of coming data, and
enable users to answer such questions as “What are the 10 most popular products over
last 2 hours?”, or “What is the average product price in a certain category for
the past day?”.<br/><br/>
             </p>
 
-            <div class="features-heading">Features:</div>
-            <ul class="features-list">
-                <li>Programmatic Querying</li>
-                <li>Customizable Event Workflow</li>
-                <li>At-Least-Once Guarantee</li>
-                <li>Sliding Windows</li>
-                <li>Data Indexing</li>
-                <li>Distributed Streamer Queries</li>
-                <li>Co-Location With In-Memory Data Grid</li>
-
-            </ul>
+            <div class="feature-box">
+                <div class="feature-left">
+                    <div class="features-heading">Features:</div>
+                    <ul class="features-list">
+                        <li>Programmatic Querying</li>
+                        <li>Customizable Event Workflow</li>
+                        <li>At-Least-Once Guarantee</li>
+                        <li>Sliding Windows</li>
+                        <li>Data Indexing</li>
+                        <li>Distributed Streamer Queries</li>
+                        <li>Co-Location With In-Memory Data Grid</li>
+                    </ul>
+                </div>
+                <div class="feature-right">
+                    <img src="images/in_memory_streaming.png" width="400px"/>
+                </div>
+            </div>
             <div class="feature-links">
-                <a target=wiki href="http://doc.gridgain.org/latest/Data+Streaming">Learn
More <i class="fa fa-angle-double-right"></i></a>
+                <!--<a target=wiki href="http://doc.gridgain.org/latest/Data+Streaming">Learn
More <i class="fa fa-angle-double-right"></i></a>-->
                 <a href="#features">Top <i class="fa fa-angle-double-up"></i></a>
             </div>
         </section>



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