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From lewi...@apache.org
Subject svn commit: r1341260 - /gora/trunk/doap_Gora.rdf
Date Mon, 21 May 2012 23:17:02 GMT
Author: lewismc
Date: Mon May 21 23:17:02 2012
New Revision: 1341260

URL: http://svn.apache.org/viewvc?rev=1341260&view=rev
Log:
commit to update Gora doap with 0.2 release. 

Modified:
    gora/trunk/doap_Gora.rdf

Modified: gora/trunk/doap_Gora.rdf
URL: http://svn.apache.org/viewvc/gora/trunk/doap_Gora.rdf?rev=1341260&r1=1341259&r2=1341260&view=diff
==============================================================================
--- gora/trunk/doap_Gora.rdf (original)
+++ gora/trunk/doap_Gora.rdf Mon May 21 23:17:02 2012
@@ -27,8 +27,8 @@
     <name>Apache Gora</name>
     <homepage rdf:resource="http://gora.apache.org" />
     <asfext:pmc rdf:resource="http://gora.apache.org" />
-    <shortdesc>Apache Gora is an open source framework providing an in memory data
model and persistence for big data. Gora supports persisting to column stores, key value stores,
document stores and RDBMSs, and analyzing the data with extensive Hadoop MapReduce support.
</shortdesc>
-    <description>Although there are various excellent ORM frameworks for relational
databases, data modeling in NoSQL data stores differ profoundly from their relational cousins.
Moreover, data-model agnostic frameworks such as JDO are not sufficient for use cases, where
one needs to use the full power of the data models in column stores. Gora fills this gap by
giving the user an easy-to-use Object Mapping framework with data store specific mappings
and built in Apache Hadoop support.</description>
+    <shortdesc>The Apache Gora open source framework provides an in-memory data model
and persistence for big data. Gora supports persisting to column stores, key value stores,
document stores and RDBMSs, and analyzing the data with extensive Apache Hadoop MapReduce
support.</shortdesc>
+    <description>Although there are various excellent ORM frameworks for relational
databases, data modeling in NoSQL data stores differ profoundly from their relational cousins.
Moreover, data-model agnostic frameworks such as JDO are not sufficient for use cases, where
one needs to use the full power of the data models in column stores. Gora fills this gap by
giving the user an easy-to-use in-memory data model and persistence for big data framework
with data store specific mappings and built in Apache Hadoop support.</description>
     <bug-database rdf:resource="https://issues.apache.org/jira/browse/GORA" />
     <mailing-list rdf:resource="http://gora.apache.org/mailing_lists.html" />
     <download-page rdf:resource="http://gora.apache.org/releases.html" />
@@ -37,6 +37,13 @@
     <releases>
     <release>
       <Version>
+        <name>0.2 release</name>
+        <created>2012-04-20</created> 
+        <revision>0.2</revision>
+      </Version>
+    </release>
+    <release>
+      <Version>
         <name>0.1.1-incubating release</name>
         <created>2011-09-24</created>
         <revision>0.1.1-incubating</revision>



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