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hbase-4930. home page (index.html) reformat. 

git-svn-id: https://svn.apache.org/repos/asf/hbase/trunk@1209684 13f79535-47bb-0310-9956-ffa450edef68
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Doug Meil 2011-12-02 20:40:51 +00:00
parent 5a0f0313b9
commit b3d87416d2
1 changed files with 30 additions and 10 deletions
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40
src/site/xdoc/index.xml
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@ -22,20 +22,37 @@
</properties>
<body>
<section>
<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>
</section>
<section name="When Would I Use HBase?">
<p>
HBase is the <a href="http://hadoop.apache.org">Hadoop</a> database. Use it when you need random, realtime read/write access to your Big Data.
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. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop.
HBase includes:
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.
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>
<section name="Features">
<p>
HBase provides:
<ul>
<li>Convenient base classes for backing Hadoop MapReduce jobs with HBase tables including cascading, hive and pig source and sink modules
<li>Strictly consistent reads and writes.
</li>
<li>Query predicate push down via server side scan and get filters
<li>Automatic and configurable sharding of tables
</li>
<li>Optimizations for real time queries
<li>Automatic failover support between RegionServers.
</li>
<li>A Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options
<li>Convenient base classes for backing Hadoop MapReduce jobs with HBase tables.
</li>
<li>Easy to use Java API for client access.
</li>
<li>Block cache and Bloom Filters for real-time queries.
</li>
<li>Query predicate push down via server side Filters
</li>
<li>Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options
</li>
<li>Extensible jruby-based (JIRB) shell
</li>
@ -43,9 +60,12 @@ HBase includes:
</li>
</ul>
</p>
</section>
<section name="Where Can I Get More Information?">
<p>See the <a href="http://hbase.apache.org/book/faq.html">Apache HBase Book FAQ</a>, and the other documentation links on the left!
</p>
</section>
<section name="News">
<section name="News">
<p>November 29th, <a href="http://www.meetup.com/hackathon/events/41025972/">Developer Pow-Wow in SF</a> at Salesforce HQ</p>
<p>November 7th, <a href="http://www.meetup.com/hbaseusergroup/events/35682812/">HBase Meetup in NYC (6PM)</a> at the AppNexus office</p>
<p>August 22nd, <a href="http://www.meetup.com/hbaseusergroup/events/28518471/">HBase Hackathon (11AM) and Meetup (6PM)</a> at FB in PA</p>