HBase.Design.Patterns

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文件名称：HBase.Design.Patterns
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更新时间：2018-03-07 15:47:22
HBase Title: HBase Design Patterns Author: Mark Kerzner, Sujee Maniyam Length: 144 pages Edition: 1 Language: English Publisher: Packt Publishing Publication Date: 2014-12-17 ISBN-10: 1783981040 ISBN-13: 9781783981045 Design and implement successful patterns to develop scalable applications with HBase About This Book Design HBase schemas for the most demanding functional and scalability requirements Optimize HBase's handling of single entities, time series, large files, and complex events by utilizing design patterns Written in an easy-to-follow style, and incorporating plenty of examples, and numerous hints and tips. Who This Book Is For If you are an intermediate NoSQL developer or have a few big data projects under your belt, you will learn how to increase your chances of a successful and useful NoSQL application by mastering the design patterns described in the book. The HBase design patterns apply equally well to Cassandra, MongoDB, and so on. In Detail With the increasing use of NoSQL in general and HBase in particular, knowing how to build practical applications depends on the application of design patterns. These patterns, distilled from extensive practical experience of multiple demanding projects, guarantee the correctness and scalability of the HBase application. They are also generally applicable to most NoSQL databases. Starting with the basics, this book will show you how to install HBase in different node settings. You will then be introduced to key generation and management and the storage of large files in HBase. Moving on, this book will delve into the principles of using time-based data in HBase, and show you some cases on denormalization of data while working with HBase. Finally, you will learn how to translate the familiar SQL design practices into the NoSQL world. With this concise guide, you will get a better idea of typical storage patterns, application design templates, HBase explorer in multiple scenarios with minimum effort, and reading data from multiple region servers. Table of Contents Chapter 1: Starting Out with HBase Chapter 2: Reading, Writing, and Using SQL Chapter 3: Using HBase Tables for Single Entities Chapter 4: Dealing with Large Files Chapter 5: Time Series Data Chapter 6: Denormalization Use Cases Chapter 7: Advanced Patterns for Data Modeling Chapter 8: Performance Optimization