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Hbase Essentials

Hbase Essentials

By : Garg
3.5 (2)
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Hbase Essentials

Hbase Essentials

3.5 (2)
By: Garg

Overview of this book

This book is intended for developers and Big Data engineers who want to know all about HBase at a hands-on level. For in-depth understanding, it would be helpful to have a bit of familiarity with HDFS and MapReduce programming concepts with no prior experience with HBase or similar technologies. This book is also for Big Data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic, scalable database solution in the Big Data space.
Table of Contents (9 chapters)
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Cluster monitoring


In large distributed systems, an administrator handles the difficult task of being aware of the overall status of the system, as well as knowing about each server separately. In disaster-like situations, it is difficult to know when and how it got started just by looking at a handful of raw logfiles.

HBase cluster (another distributed system running on top of Hadoop) administrators need to continuously ensure that the cluster is up and operating as expected. For such difficult tasks, HBase provides a large number of metrics that provide details regarding their current status.

There are different solutions provided that can be further grouped into graphing and monitoring solutions or both. Here, graphing solutions, such as Ganglia (http://ganglia.sourceforge.net/), capture the exposed metrics of a system and display them in visual charts on the basis of time filters such as daily, monthly, and so on. Monitoring-based solutions, such as Nagios (http://www.nagios.org/), use...

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