Learning Mongoid Build Scalable Efficient Rails Web Applications With Mongoid - Info and Reading Options
By Gautam Rege

"Learning Mongoid Build Scalable Efficient Rails Web Applications With Mongoid" was published by Packt Publishing Limited in 2013 - Birmingham, UK and it has 1 pages.
“Learning Mongoid Build Scalable Efficient Rails Web Applications With Mongoid” Metadata:
- Title: ➤ Learning Mongoid Build Scalable Efficient Rails Web Applications With Mongoid
- Author: Gautam Rege
- Number of Pages: 1
- Publisher: Packt Publishing Limited
- Publish Date: 2013
- Publish Location: Birmingham, UK
“Learning Mongoid Build Scalable Efficient Rails Web Applications With Mongoid” Subjects and Themes:
- Subjects: ➤ Database management - Ruby (computer program language) - Application software - Development - MongoDB
Edition Identifiers:
- The Open Library ID: OL25991385M - OL17409758W
- Online Computer Library Center (OCLC) ID: 870551032
- ISBN-13: 9781782167501 - 9781782167518
- All ISBNs: 9781782167501 - 9781782167518
AI-generated Review of “Learning Mongoid Build Scalable Efficient Rails Web Applications With Mongoid”:
"Learning Mongoid Build Scalable Efficient Rails Web Applications With Mongoid" Description:
Open Data:
Mongoid helps you to leverage the power of schema-less and efficient document-based design, dynamic queries, and atomic modifier operations. Mongoid eases the work of Ruby developers while they are working on complex frameworks. Starting with why and how you should use Mongoid, this book covers the various components of Mongoid. It then delves deeper into the detail of queries and relations, and you will learn some tips and tricks on improving performance. With this book, you will be able to build robust and large-scale web applications with Mongoid and Rails. Starting with the basics, this book introduces you to components such as moped and origin, and how information is managed, learn about the various datatypes, embedded documents, arrays, and hashes. You will learn how a document is stored and manipulated with callbacks, validations, and even atomic updates. This book will then show you the querying mechanism in detail, right from simple to complex queries, and even explains eager loading, lazy evaluation, and chaining of queries. Finally, this book will explain the importance of performance tuning and how to use the right indexes. It also explains MapReduce and the Aggregation Framework
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