- ホーム
- > 洋書
- > 英文書
- > Computer / Databases
Full Description
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.
Contents
INTRODUCTION xvii PART I: GETTING STARTEDCHAPTER 2: HELLO NOSQL: GETTING INITIAL HANDS-ON EXPERIENCE 21CHAPTER 3: INTERFACING AND INTERACTING WITH NOSQL 43PART II: LEARNING THE NOSQL BASICSCHAPTER 4: UNDERSTANDING THE STORAGE ARCHITECTURE 73CHAPTER 5: PERFORMING CRUD OPERATIONS 97CHAPTER 6: QUERYING NOSQL STORES 117CHAPTER 7: MODIFYING DATA STORES AND MANAGING EVOLUTION 137CHAPTER 8: INDEXING AND ORDERING DATA SETS 149CHAPTER 9: MANAGING TRANSACTIONS AND DATA INTEGRITY 169PART III: GAINING PROFICIENCY WITH NOSQLCHAPTER 11: SCALABLE PARALLEL PROCESSING WITH MAPREDUCE 217CHAPTER 12: ANALYZING BIG DATA WITH HIVE 233CHAPTER 13: SURVEYING DATABASE INTERNALS 253PART IV: MASTERING NOSQLCHAPTER 14: CHOOSING AMONG NOSQL FLAVORS 271CHAPTER 15: COEXISTENCE 285CHAPTER 16: PERFORMANCE TUNING 301CHAPTER 17: TOOLS AND UTILITIES 311APPENDIX: INSTALLATION AND SETUP INSTRUCTIONS 329INDEX 351
-
- 洋書
- Remains