Database Reference
In-Depth Information
<name>hbase.rest.authentication.kerberos.principal</name>
<value>HTTP/HOST@HADOOP.LOCALDOMAIN</value>
</property>
<property>
<name>hbase.rest.authentication.kerberos.keytab</name>
<value><KEYTAB></value>
</property>
5.
Place the value for
<KEYTAB>
. Once all the conigurations are done, restart
the REST gateway and start playing with secure HBase from the REST-based
client based on the access provided.
HBase and MapReduce
HBase has a close integration with Hadoop's MapReduce as it is built on top of
the Apache Hadoop framework. Hadoop's MapReduce provides a distributed
computation for high throughput data access, and
Hadoop Distributed File System
(
HDFS
) provides HBase with the storage layer with high availability, reliability,
and durability for data.
Before we go into more details of how HBase integrates with Hadoop's MapReduce
framework, let's irst understand how this framework actually works.
Hadoop MapReduce
There should be a system to process terabytes or petabytes of data and increase
its performance linearly with the number of physical machines added. Apache
Hadoop's MapReduce framework is designed to provide linearly scalable
processing power for huge amounts of Big Data.
