What this book covers

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.