Chapter 1, Introducing HBase, introduces HBase to the developers and provides the steps required to set up the HBase cluster in the local and pseudo-distributed modes. It also explains briefly the basic building blocks of the HBase cluster and the commands used to play with HBase.

Chapter 2, Defining the Schema, this answers some basic questions such as how data modeling is approached and how tables are designed in the first half of the chapter. The next half provides the examples of CRUD operations in HBase using the Java-based developers API provided by HBase.

Chapter 3, Advanced Data Modeling, takes the concepts discussed in the previous chapter into more depth. It explains the role of different keys in HBase and later picks up advanced features such as table scan and filters in detail.

Chapter 4, The HBase Architecture, provides an insight into the HBase architecture. It covers how data is stored and replicated internally in HBase. It also discusses how to secure HBase access and explains HBase and MapReduce over Hadoop integration in detail.

Chapter 5, The HBase Advanced API, shares the advanced features such as counters, coprocessors, and their usage using the HBase developers' API. It also discusses the API available for the HBase administration.

Chapter 6, HBase Clients, discusses in detail various clients that are available for HBase. The HBase client list includes HBase shell, Kundera, REST clients, Thrift client, and Hadoop ecosystem clients.

Chapter 7, HBase Administration, focuses on HBase administration. It provides details about the HBase cluster management, monitoring, and performance tuning. In the end, it talks about cluster troubleshooting.

The basic list of software required for this book is as follows:

This book is for readers who want to know about Apache HBase at a hands-on level; the key audience is those with software development experience but no prior exposure to Apache HBase or similar technologies.

This book is also for enterprise application developers and Big Data enthusiasts who have worked with other NoSQL database systems and now want to explore Apache HBase as another futuristic scalable solution.

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Data deletion in HBase can happen for a single row or in the form of a batch representing multiple rows using the following method of the HTable class."

A block of code is set as follows:

List<Delete> deletes = new ArrayList<Delete>();
Delete delete1 = new Delete(Bytes.toBytes("row-1"));
delete1.deleteColumn(Bytes.toBytes("cf1"), Bytes.toBytes("greet"));
deletes.add(delete1);

Any command-line input or output is written as follows:

[root@localhost hbase-0.98.7-hadoop2]# bin/hbase shell
hbase(main):001:0> help 'create'

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "Click on return to see a listing of the available shell commands and their options."

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