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From dma...@apache.org
Subject svn commit: r1805049 - /ignite/site/trunk/features/persistence.html
Date Tue, 15 Aug 2017 02:21:10 GMT
Author: dmagda
Date: Tue Aug 15 02:21:09 2017
New Revision: 1805049

URL: http://svn.apache.org/viewvc?rev=1805049&view=rev
Log:
did some renamings

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

Modified: ignite/site/trunk/features/persistence.html
URL: http://svn.apache.org/viewvc/ignite/site/trunk/features/persistence.html?rev=1805049&r1=1805048&r2=1805049&view=diff
==============================================================================
--- ignite/site/trunk/features/persistence.html (original)
+++ ignite/site/trunk/features/persistence.html Tue Aug 15 02:21:09 2017
@@ -55,11 +55,11 @@ under the License.
             <h1 class="first">Ignite Native Persistence</h1>
                 <div class="col-sm-12 col-md-12 col-xs-12" style="padding-left:0; padding-right:0;
margin-bottom: 20px;">
                     <div class="col-sm-6 col-md-7 col-xs-12" style="padding-left:0; padding-right:0;">
-                        <p>Ignite Persistent Store is a distributed ACID and SQL-compliant
disk store that transparently integrates with Ignite's
+                        <p>Ignite Native Persistence is a distributed ACID and SQL-compliant
disk store that transparently integrates with Ignite's
                             durable memory as an optional disk layer storing data and indexes
on SSD, Flash, 3D XPoint, and other types of non-volatile storages.</p>
                         <p>
-                            With persistent store enabled, you no longer need to keep all
the data and indexes in memory or warm it up after a node or cluster restart because
-                            Apache Durable Memory is tightly coupled with the Persistent
Store and treats it as a secondary storage. This implies that if a subset of data or an
+                            With the Ignite Persistence enabled, you no longer need to keep
all the data and indexes in memory or warm it up after a node or cluster restart because
+                            Apache Durable Memory is tightly coupled with the persistence
and treats it as a secondary storage. This implies that if a subset of data or an
                             index is missing in RAM, the durable memory will take it from
disk.
                         </p>
 
@@ -69,13 +69,13 @@ under the License.
                     </div>
                 </div>
                 <p>
-                    Apache Ignite Persistent Store has the following advantages over 3rd
party stores (RDBMS, NoSQL, Hadoop)
+                    Apache Ignite Native Persistence has the following advantages over 3rd
party persistent stores (RDBMS, NoSQL, Hadoop)
                     that can be used as an alternative persistence layer for an Apache Ignite
cluster:
                 </p>
                 <ul class="page-list" style="margin-bottom: 20px;">
                     <li>Ability to execute SQL queries over the data that is both in
memory and on disk which means that Apache Ignite can be used as a memory-optimized distributed
SQL database.</li>
-                    <li>No need to have all the data and indexes in memory. The Persistent
Store allows storing a superset of data on disk and only most frequently used subsets in memory.</li>
-                    <li>Instantaneous cluster restarts. If the whole cluster goes down
there is no need to warm up the memory by preloading data from the Persistent Store.
+                    <li>No need to have all the data and indexes in memory. The Ignite
Persistence allows storing a superset of data on disk and only most frequently used subsets
in memory.</li>
+                    <li>Instantaneous cluster restarts. If the whole cluster goes down
there is no need to warm up the memory by preloading data from the Ignite Persistence.
                         The cluster becomes fully operational once all the cluster nodes
are interconnected with each other.</li>
                     <li>Data and indexes are stored in a similar format both in memory
and on disk that helps to avoid expensive transformations while the data sets are being moved
between memory and disk.</li>
                     <li>An ability to create full and incremental cluster snapshots
by plugging-in 3rd party solutions.</li>



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