《Professional NoSQL》[PDF]

中文名: Professional NoSQL
原名: Professional NoSQL
作者: Shashank Tiwari
图书分类: 软件
资源格式: PDF
出版社: Wrox Press, Inc.
书号: 9780470942246
发行时间: 2011年9月13日
地区: 美国
极速分分彩: 英文
简介:
 

目录:

Table of Contents

INTRODUCTION xvii

PART I: GETTING STARTED

CHAPTER 1: NOSQL: WHAT IT IS AND WHY YOU NEED IT 3

CHAPTER 2: HELLO NOSQL: GETTING INITIAL HANDS-ON EXPERIENCE 21

CHAPTER 3: INTERFACING AND INTERACTING WITH NOSQL 43

PART II: LEARNING THE NOSQL BASICS

CHAPTER 4: UNDERSTANDING THE STORAGE ARCHITECTURE 73

CHAPTER 5: PERFORMING CRUD OPERATIONS 97

CHAPTER 6: QUERYING NOSQL STORES 117

CHAPTER 7: MODIFYING DATA STORES AND MANAGING EVOLUTION 137

CHAPTER 8: INDEXING AND ORDERING DATA SETS 149

CHAPTER 9: MANAGING TRANSACTIONS AND DATA INTEGRITY 169

PART III: GAINING PROFICIENCY WITH NOSQL

CHAPTER 10: USING NOSQL IN THE CLOUD 187

CHAPTER 11: SCALABLE PARALLEL PROCESSING WITH MAPREDUCE 217

CHAPTER 12: ANALYZING BIG DATA WITH HIVE 233

CHAPTER 13: SURVEYING DATABASE INTERNALS 253

PART IV: MASTERING NOSQL

CHAPTER 14: CHOOSING AMONG NOSQL FLAVORS 271

CHAPTER 15: COEXISTENCE 285

CHAPTER 16: PERFORMANCE TUNING 301

CHAPTER 17: TOOLS AND UTILITIES 311

APPENDIX: INSTALLATION AND SETUP INSTRUCTIONS 329

INDEX 351
A hands-on guide to leveraging NoSQL databases

NoSQL databases are an efficient and powerful tool for storing and manipulating vast quantities of data. Most NoSQL databases scale well as data grows. In addition, they are often malleable and flexible enough to accommodate semi-structured and sparse data sets. This comprehensive hands-on guide presents fundamental concepts and practical solutions for getting you ready to use NoSQL databases. Expert author Shashank Tiwari begins with a helpful introduction on the subject of NoSQL, explains its characteristics and typical uses, and looks at where it fits in the application stack. Unique insights help you choose which NoSQL solutions are best for solving your specific data storage needs.
Professional NoSQL:

Demystifies the concepts that relate to NoSQL databases, including column-family oriented stores, key/value databases, and document databases.
Delves into installing and configuring a number of NoSQL products and the Hadoop family of products.
Explains ways of storing, accessing, and querying data in NoSQL databases through examples that use MongoDB, HBase, Cassandra, Redis, CouchDB, Google App Engine Datastore and more.
Looks at architecture and internals.
Provides guidelines for optimal usage, performance tuning, and scalable configurations.
Presents a number of tools and utilities relating to NoSQL, distributed platforms, and scalable processing, including Hive, Pig, RRDtool, Nagios, and more.