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 operationsAggregation and text searchingMap-reduce for custom aggregations and reportingDeploying for scale and high availabilityUpdated 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
- A database for the modern web
- MongoDB through the JavaScript shell
- Writing programs using MongoDB
PART 2 APPLICATION DEVELOPMENT IN MONGODB
- Document-oriented data
- Constructing queries
- Aggregation
- Updates, atomic operations, and deletes
PART 3 MONGODB MASTERY
- Indexing and query optimization
- Text search
- WiredTiger and pluggable storage
- Replication
- Scaling your system with sharding
- Deployment and administration
