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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -17,7 +17,7 @@ specific language governing permissions and limitations
under the License.
-->

![hbase-logo](https://raw.githubusercontent.com/apache/hbase/master/src/site/resources/images/hbase_logo_with_orca_large.png)
![hbase-logo](https://hbase.apache.org/images/hbase_logo_with_orca_large.png)

[Apache HBase](https://hbase.apache.org) is an open-source, distributed, versioned, column-oriented store modeled after Google' [Bigtable](https://research.google.com/archive/bigtable.html): A Distributed Storage System for Structured Data 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 [Apache Hadoop](https://hadoop.apache.org/).

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2 changes: 1 addition & 1 deletion src/site/xdoc/index.xml
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Expand Up @@ -30,7 +30,7 @@ under the License.
<p><a href="https://www.apache.org/">Apache</a> HBase<sup>®</sup> is the <a href="https://hadoop.apache.org/">Hadoop</a> database, a distributed, scalable, big data store.</p>
<p>Use Apache HBase<sup>®</sup> 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.
Apache HBase<sup>®</sup> is an open-source, distributed, versioned, non-relational database modeled after Google's <a href="https://research.google.com/archive/bigtable.html">Bigtable: A Distributed Storage System for Structured Data</a> by Chang et al.
Apache HBase<sup>®</sup> is an open-source, distributed, versioned, non-relational database modeled after Google's <a href="https://static.googleusercontent.com/media/research.google.com/zh-CN//archive/bigtable-osdi06.pdf">Bigtable: A Distributed Storage System for Structured Data</a> by Chang et al.
Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase<sup>®</sup> provides Bigtable-like capabilities on top of Hadoop and HDFS.
</p>
</section>
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