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.
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.
Table of Contents
Part I: Getting Started
- Chapter 1: NoSQL: What It Is and Why You Need it
- Chapter 2: Hello NoSQL: Getting Initial Hands-on Experience
- Chapter 3: Interfacing and Interacting with NoSQL
Part II: Learning the NoSQL Basics
- Chapter 4: Understanding the Storage Architecture
- Chapter 5: Performing CRUD Operations
- Chapter 6: Querying NoSQL Stores
- Chapter 7: Modifying Data Stores and Managing Evolution
- Chapter 8: Indexing and Ordering Data Sets
- Chapter 9: Managing Transactions and Data Integrity
Part III: Gaining Proficiency with NoSQL
- Chapter 10: Using NoSQL in the Cloud
- Chapter 11: Scalable Parallel Processing with MapReduce
- Chapter 12: Analyzing Big Data with Hive
- Chapter 13: Surveying Database Internals
Part IV: Mastering NoSQL
- Chapter 14: Choosing Among NoSQL Flavors
- Chapter 15: Coexistence
- Chapter 16: Performance Tuning
- Chapter 17: Tools and Utilities
- Appendix: Installation and Setup Instructions
- Title: Professional NoSQL
- Release date: September 2011
- Publisher(s): Wrox
- ISBN: 9781118167809