Summary

MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology
This document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads.
About the Book
MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment.
What's Inside

Indexes, queries, and standard DB operations

Aggregation and text searching

Map-reduce for custom aggregations and reporting

Deploying for scale and high availability

Updated for Mongo 3.0

About the Reader

Written for developers. No previous MongoDB or NoSQL experience is assumed.

About the Authors

After working at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB expertise. Shaun Verch has worked on the core server team at MongoDB. A Genentech engineer, Doug Garrett is one of the winners of the MongoDB Innovation Award for Analytics. A software architect, Tim Hawkins has led search engineering at Yahoo Europe. Technical Contributor: Wouter Thielen. Technical Editor: Mihalis Tsoukalos.

Table of Contents

PART 1 GETTING STARTED

1. A database for the modern web
2. MongoDB through the JavaScript shell
3. Writing programs using MongoDB

PART 2 APPLICATION DEVELOPMENT IN MONGODB

4. Document-oriented data
5. Constructing queries
6. Aggregation
7. Updates, atomic operations, and deletes

PART 3 MONGODB MASTERY

8. Indexing and query optimization
9. Text search
10. WiredTiger and pluggable storage
11. Replication
12. Scaling your system with sharding
13. Deployment and administration

Kyle Banker, after several years of maintaining the MongoDB Ruby driver at 10gen, is now plying his skills at a startup. He can be found blogging about MongoDB and related topics of interest at http://kylebanker.com/blog.

Peter Bakkum is a developer with expertise using MongoDB for building and scaling data infrastructure in large commercial deployments.

Shaun Verch has worked at MongoDB on the core server team, and has been part of other educational efforts, such as the M101JS online course about using MongoDB with Node.js.

Doug Garrett, a speaker at the first MongoDB World conference in NYC and one of the winners of the MongoDB Innovation Award for Analytics, is a software engineer in the Bioinformatics department of Genentech Research and Early Development.

Tim Hawkins served as the Head of European Search Engineering for Yahoo and later as a lead solutions architect focused on internationalization and scalability.