Preface
The objective of this book is to guide the reader through setting up, developing, and integrating different clients. It also shows the internals of read/write operations and how to maintain and scale HBase clusters in production. This book also allows engineers to kick start their project for recommendations, relevancy, and machine learning.
What this book covers
Chapter 1, Configuring HBase, provides in-depth knowledge of how to set up, configure, administer, and manage a large and scalable cluster.
Chapter 2, Loading Data, will deep dive into how we can extract data from various input sources using different process such as bulk load, put, and using MapReduce.
Chapter 3, Working with Large Distributed Systems I, talks about the internal ...
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