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Posted to commits@hbase.apache.org by dm...@apache.org on 2011/12/08 17:12:40 UTC
svn commit: r1211942 - /hbase/trunk/src/site/xdoc/index.xml
Author: dmeil
Date: Thu Dec 8 16:12:39 2011
New Revision: 1211942
URL: http://svn.apache.org/viewvc?rev=1211942&view=rev
Log:
hbase-4983. index.html: one correction, one change, one addition.
Modified:
hbase/trunk/src/site/xdoc/index.xml
Modified: hbase/trunk/src/site/xdoc/index.xml
URL: http://svn.apache.org/viewvc/hbase/trunk/src/site/xdoc/index.xml?rev=1211942&r1=1211941&r2=1211942&view=diff
==============================================================================
--- hbase/trunk/src/site/xdoc/index.xml (original)
+++ hbase/trunk/src/site/xdoc/index.xml Thu Dec 8 16:12:39 2011
@@ -23,14 +23,14 @@
<body>
<section name="Welcome to Apache HBase!">
- <p>HBase is the <a href="http://hadoop.apache.org">Hadoop</a> database. Think of it as a super-fast reliable Big Data store.
+ <p>HBase is the <a href="http://hadoop.apache.org">Hadoop</a> database. Think of it as a distributed scalable Big Data store.
</p>
</section>
<section name="When Would I Use HBase?">
<p>
Use HBase when you need random, realtime read/write access to your Big Data.
This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware.
-HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' <a href="http://labs.google.com/papers/bigtable.html">Bigtable: A Distributed Storage System for Structured</a> by Chang et al.
+HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' <a href="http://research.google.com/archive/bigtable.html">Bigtable: A Distributed Storage System for Structured</a> by Chang et al.
Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.
</p>
</section>
@@ -38,6 +38,8 @@ HBase is an open-source, distributed, ve
<p>
HBase provides:
<ul>
+ <li>Linear and modular scalability.
+</li>
<li>Strictly consistent reads and writes.
</li>
<li>Automatic and configurable sharding of tables