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Following are the Apache HBase books recommended by CoreJavaGuru, which are worth the investment for a bright future.
Author: Lars George
Publisher: O'Reilly
Lenght: 554 pages
If you're looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. Many IT executives are asking pointed questions about HBase. This book provides meaningful answers, whether you're evaluating this non-relational database or planning to put it into practice right away.
Author: Shashwat Shriparv
Publisher: Packt Publishing
Lenght: 326 pages
This book will take you through a series of core tasks in HBase. The introductory chapter will give you all the information you need about the HBase ecosystem. Furthermore, you'll learn how to configure, create, verify, and test clusters. The book also explores different parameters of Hadoop and HBase that need to be considered for optimization and a trouble-free operation of the cluster. It will focus more on HBase's data model, storage, and structure layout. You will also get to know the different options that can be used to speed up the operation and functioning of HBase. The book will also teach the users basic- and advance-level coding in Java for HBase. By the end of the book, you will have learned how to use HBase with large data sets and integrate them with Hadoop.
Author: Nick Dimiduk, Amandeep Khurana
Publisher: Manning Publications
Lenght: 360 pages
HBase in Action has all the knowledge you need to design, build, and run applications using HBase. First, it introduces you to the fundamentals of distributed systems and large scale data handling. Then, you'll explore real-world applications and code samples with just enough theory to understand the practical techniques. You'll see how to build applications with HBase and take advantage of the MapReduce processing framework. And along the way you'll learn patterns and best practices.