MongoDB in Action

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نام کتاب MongoDB in Action
ISBN 1935182870
نويسنده Kyle Banker
ناشر Manning Publications
سال انتشار 2011-02-15T03:41:08+03:30
تعداد صفحات 311
اندازه فايل 6.9
فرمت کتاب PDF
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Summary

MongoDB in Action is a comprehensive guide to MongoDB for application developers. The book begins by explaining what makes MongoDB unique and describing its ideal use cases. A series of tutorials designed for MongoDB mastery then leads into detailed examples for leveraging MongoDB in e-commerce, social networking, analytics, and other common applications.

About the Technology

Big data can mean big headaches. MongoDB is a document-oriented database designed to be flexible, scalable, and very fast, even with big data loads. It's built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers.

About this Book

MongoDB in Action introduces you to MongoDB and the document-oriented database model. This perfectly paced book provides both the big picture you'll need as a developer and enough low-level detail to satisfy a system engineer. Numerous 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

This book is written for developers. No MongoDB or NoSQL experience required.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

What's Inside

  • Indexes, queries, and standard DB operations
  • Map-reduce for custom aggregations and reporting
  • Schema design patterns
  • Deploying for scale and high availability

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
  1. Document-oriented data
  2. Queries and aggregation
  3. Updates, atomic operations, and deletes
PART 3 MONGODB MASTERY
  1. Indexing and query optimization
  2. Replication
  3. Sharding
  4. Deployment and administration

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