Launch an Apache HBase cluster on Amazon EMR using the AWS SDK for Java and connection with Amazon Kinesis.
Therefore, Connectikpeople.co,
has captured for you a great post from Wangechi Doble, an AWS Solutions
Architect, likely to help and show you how to launch an Apache HBase cluster on Amazon EMR using the AWS SDK for Java and how to extend the Amazon Kinesis Connector
Library to stream data in real-time
to HBase running on an Amazon EMR cluster.
If unfamiliar, Connectikpeople.co reminds that, Apache HBase is an
open-source, column-oriented, distributed NoSQL database that runs on the
Apache Hadoop framework.
You can observer that, in the AWS Cloud, you can choose to deploy Apache
HBase on Amazon Elastic Cloud Compute (Amazon EC2) and manage it yourself or
leverage Apache HBase as a managed service on Amazon Elastic MapReduce (Amazon
EMR). Amazon EMR is a managed, hosted Hadoop framework on top of Amazon EC2.
When it comes to Amazon Kinesis , it is a fully managed service for real-time processing of
streaming big data.
To learn more about launching Apache HBase on Amazon EMR, you can also see
the documentation for installing
HBase on an Amazon EMR Cluster section of
the Amazon EMR documentation.
