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From dma...@apache.org
Subject svn commit: r1794097 - /ignite/site/trunk/releases/2.0.0/release_notes.html
Date Fri, 05 May 2017 19:56:01 GMT
Author: dmagda
Date: Fri May  5 19:56:01 2017
New Revision: 1794097

URL: http://svn.apache.org/viewvc?rev=1794097&view=rev
Log:
updated release notes

Modified:
    ignite/site/trunk/releases/2.0.0/release_notes.html

Modified: ignite/site/trunk/releases/2.0.0/release_notes.html
URL: http://svn.apache.org/viewvc/ignite/site/trunk/releases/2.0.0/release_notes.html?rev=1794097&r1=1794096&r2=1794097&view=diff
==============================================================================
--- ignite/site/trunk/releases/2.0.0/release_notes.html (original)
+++ ignite/site/trunk/releases/2.0.0/release_notes.html Fri May  5 19:56:01 2017
@@ -27,60 +27,61 @@ ol li {
   width: 700px;
 }</style></head>
 <body>
-<h1 id="Apache IGNITE 2.0 Overview">Overview</h1>
+<h1 id="Apache IGNITE 2.0 Overview">Apache Ignite 2.0 Overview</h1>
 
 Apache Ignite 2.0 incorporates significant as well as breakthrough changes some of the are
described below.
 
 <h2>Redesigned Off-Heap Memory Architecture</h2>
 
 The whole memory architecture of the platform was redesigned from scratch.
-In a nutshell, all the data and indexes are stored in a completely new manageable off-heap
memory that has no
-issues with memory fragmentation, accelerates SQL Grid significantly and helps your application
tolerate Java GC
+In a nutshell, all the data and indexes are stored in a completely <a href="https://apacheignite.readme.io/docs/page-memory"
target="_blank">new manageable off-heap memory</a>
+that has no issues with memory fragmentation, accelerates SQL Grid significantly and helps
your application tolerate Java GC
 pauses easily. The architecture allows integrating easily with SSD and Flash drives.
 
 <h2>Data Definition Language</h2>
 
-The release introduces support for Data Definition Language (DDL) as a part of its SQL Grid
functionality.
-Now you can define and, what’s more important, to alter indexes in runtime without a
need to restart your cluster.
-Apache Ignite users have been waiting for this feature for a long time and it’s more
exciting that they can leverage
+The release <a href="https://apacheignite.readme.io/docs/distributed-ddl" target="_blank">introduces
support</a>
+for Data Definition Language (DDL) as a part of its SQL Grid functionality.
+Now you can define and, what's more important, to alter indexes in runtime without a need
to restart your cluster.
+Apache Ignite users have been waiting for this feature for a long time and it's more exciting
that they can leverage
 from this by using standard SQL commands like CREATE or DROP index. More DDL commands will
be supported in upcoming
 releases.
 
 <h2>Machine Learning Grid Beta</h2>
 
-With Apache Ignite 2.0 you can check project’s own distributed algebra implementation.
+With Apache Ignite 2.0 you can check up project's own <a href="https://apacheignite.readme.io/docs/machine-learning"
target="_blank">distributed algebra implementation</a>.
 The distributed algebra is the foundation for the whole component and pretty soon you can
expect to get
 distributed versions of widely used regression algorithms, decision trees and more.
 
 <h2>Spring Data Integration</h2>
 
-Spring Data integration allows interacting with an Apache Ignite cluster using well-known
and highly adopted
+<a href="https://apacheignite-mix.readme.io/docs/spring-data" target="_blank">Spring
Data integration</a> allows interacting with an Apache Ignite cluster using well-known
and highly adopted
 Spring Data Framework. You can connect to the cluster by means of Spring Data repositories
and start executing
 distributed SQL queries as well as simple CRUD operations.
 
 <h2>Rocket MQ Integration</h2>
 
-Starting with Apache Ignite 2.0 you can easily stream data from RocketMQ to an Apache Ignite
cluster.
+Starting with Apache Ignite 2.0 you can easily stream data from <a href="https://apacheignite-mix.readme.io/docs/rocketmq-streamer"
target="_blank">RocketMQ to an Apache Ignite cluster</a>.
 
 <h2>Hibernate 5 Support</h2>
 
 Hibernate L2 cache users have been anticipating support of Hibernate 5 on Apache Ignite side
pretty long time.
 Apache Ignite 2.0 fulfilled this demand.
-The integration now supports Hibernate 5 and contains a number of bug fixes and improvements.
+<a href="https://apacheignite-mix.readme.io/docs/hibernate-l2-cache" target="_blank">The
integration</a> now supports Hibernate 5 and contains a number of bug fixes and improvements.
 
 <h2>Ignite.NET</h2>
 
-Ignite.NET has been enhanced with an addition of a plugin system that allows writing and
embedding 3rd party .NET
+Ignite.NET has been enhanced with an addition of a <a href="https://apacheignite-net.readme.io/docs/plugins"
target="_blank">plugin system</a> that allows writing and embedding 3rd party .NET
 components into Ignite.NET.
 
 <h2>Ignite.C++</h2>
 
 Eventually, Ignite.C++ part of the community made up a way on how to execute arbitrary C++
code on remote cluster machines.
 
-The approach was initially tested for continuous queries and now you can register continuous
queries' remote filters
+The approach was initially tested for continuous queries and now you can <a href="https://apacheignite-cpp.readme.io/docs/continuous-queries"
target="_blank">register continuous queries' remote filters</a>
 on any cluster node you like. Going forward you can expect support for Ignite.C++ compute
grid and more.
 
-<h1 id="Apache IGNITE 2.0">Apache IGNITE 2.0</h1>
+<h1 id="Apache IGNITE 2.0">Full Set of Changes</h1>
 <h2>New Features</h2>
 <ul>
 <li>Implement index hints for SQL<a href="https://issues.apache.org/jira/browse/IGNITE-4594">
[#IGNITE-4594]</a>



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