Author: dmagda
Date: Thu Sep 14 21:54:49 2017
New Revision: 1808398

URL: http://svn.apache.org/viewvc?rev=1808398&view=rev
Log:
shifted paragraphs a bit

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

Modified: ignite/site/trunk/features/datagrid.html
URL: 
http://svn.apache.org/viewvc/ignite/site/trunk/features/datagrid.html?rev=1808398&r1=1808397&r2=1808398&view=diff
==============================================================================
--- ignite/site/trunk/features/datagrid.html (original)
+++ ignite/site/trunk/features/datagrid.html Thu Sep 14 21:54:49 2017
@@ -71,42 +71,44 @@ under the License.
                         Ignite Data Grid is lightning fast and is one of the 
fastest implementations of transactional or
                         atomic data in distributed clusters today. We know it 
because we constantly benchmark it ourselves.
                     </p>
-                    <p>
-                        The data in the data grid can be stored only in 
memory, or can also be persisted to disk.
-                        If <a href="/features/persistence.html" 
target="_blank">Ignite native persistence</a> is enabled,
-                        then data and indexes will be persisted natively by 
Ignite on every cluster node. In this case,
-                        memory only serves as a smaller caching layer of the 
overall persisted data set. All queries and transactions
-                        span the whole data set stored on disk.
-                    </p>
-                    <p>
-                        The in-memory data grid can also improve performance 
and scalability by integrating with existing 3rd party
-                        databases, like RDBMS, NoSQL, or Hadoop-based 
storages. This approach does not require
-                        rip-and-replace of the existing data, but has its 
limitations. For example, SQL or scan queries will only include the
-                        results stored in memory, and not in the external 
database, since Ignite does not have any knowledge of the external data.
-                    </p>
-                    <p>
-                        <a 
href="https://apacheignite.readme.io/docs/distributed-persistent-store"; 
target="_blank">Read more</a>
-                        about different types of persistence in Ignite.
-                    </p>
-
-                    <div class="videos">
-                        <div class="page-heading">Videos:</div>
-                        <ul class="page-list">
-                            <li>
-                                <i class="fa fa-lg fa-play-circle-o"></i>
-                                <span class="video-title">
-                                    <a target="youtube" 
href="https://www.youtube.com/watch?v=pFbDWpOiMOU";>Getting Started with Data 
Grid</a>
-                                </span>
-                                <span class="video-duration">03:49</span>
-                            </li>
-                        </ul>
-                    </div>
                 </div>
 
                 <div class="col-sm-6 col-md-5 col-xs-12" 
style="padding-right:0">
                     <img class="img-responsive" 
src="/images/ignite-db-cache.png" width="400px" style="float:right;"/>
                 </div>
             </div>
+
+            <p>
+                The data in the data grid can be stored only in memory, or can 
also be persisted to disk.
+                If <a href="/features/persistence.html" target="_blank">Ignite 
native persistence</a> is enabled,
+                then data and indexes will be persisted natively by Ignite on 
every cluster node. In this case,
+                memory only serves as a smaller caching layer of the overall 
persisted data set. All queries and transactions
+                span the whole data set stored on disk.
+            </p>
+            <p>
+                The in-memory data grid can also improve performance and 
scalability by integrating with existing 3rd party
+                databases, like RDBMS, NoSQL, or Hadoop-based storages. This 
approach does not require
+                rip-and-replace of the existing data, but has its limitations. 
For example, SQL or scan queries will only include the
+                results stored in memory, and not in the external database, 
since Ignite does not have any knowledge of the external data.
+            </p>
+            <p>
+                <a 
href="https://apacheignite.readme.io/docs/distributed-persistent-store"; 
target="_blank">Read more</a>
+                about different types of persistence in Ignite.
+            </p>
+
+            <div class="videos">
+                <div class="page-heading">Videos:</div>
+                <ul class="page-list">
+                    <li>
+                        <i class="fa fa-lg fa-play-circle-o"></i>
+                                <span class="video-title">
+                                    <a target="youtube" 
href="https://www.youtube.com/watch?v=pFbDWpOiMOU";>Getting Started with Data 
Grid</a>
+                                </span>
+                        <span class="video-duration">03:49</span>
+                    </li>
+                </ul>
+            </div>
+
             <div class="code-examples">
                 <div class="page-heading">Code Examples:</div>
                 <!-- Nav tabs -->


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