HBase High Performance Cookbook: Solutions for optimization, scaling and performance tuning

Ruchir Choudhry

€41.99

2.5 (2 Ratings)

Paperback Jan 2017 350 pages 1st Edition

Ruchir Choudhry

€41.99

2.5 (2 Ratings)

Paperback Jan 2017 350 pages 1st Edition

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Key benefits

Architect a good HBase cluster for a very large distributed system
Get to grips with the concepts of performance tuning with HBase
A practical guide full of engaging recipes and attractive screenshots to enhance your system’s performance

Description

Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data. We’ll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we’ll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we’ll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance.

Who is this book for?

This book is intended for developers and architects who want to know all about HBase at a hands-on level. 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.

What you will learn

Configure HBase from a high performance perspective
Grab data from various RDBMS/Flat files into the HBASE systems
Understand table design and perform CRUD operations
Find out how the communication between the client and server happens in HBase
Grasp when to use and avoid MapReduce and how to perform various tasks with it
Get to know the concepts of scaling with HBase through practical examples
Set up Hbase in the Cloud for a small scale environment
Integrate HBase with other tools including ElasticSearch

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USA:

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Adam Aug 25, 2017

Makes a complex subject impossible to follow. There may be some good content here but its hidden amongst bad grammar, run on sentences, typos, and even review comments which were not removed.E.g. " if an inconsistency between the checksum and the block contents is observed, This does not make sense!, the communication is sent to the HDFS master".

Amazon Verified review

GeneM Jul 12, 2017

This book is in sad need of a proof reader and an editor. It has good topics. Too many times I have to imagine what he meant to write.

HBase High Performance Cookbook: Solutions for optimization, scaling and performance tuning

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