Design With Mongodb
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Design with MongoDB
The world of NoSQL databases is constantly evolving. Many applications are adopting these new technologies to provide developers with increasingly powerful tools. One of their prominent hallmarks is the freedom from having to define a database model ahead - a feature known as being "schemaless". MongoDB, the market leader in NoSQL document databases, has made this feature its strong point. An unprecedented level of flexibility makes MongoDb an incredibly powerful tool, but may likewise compromise performance, if not properly tamed. The design of database models, therefore, becomes fundamental to achieving the best performance. In this book we will analyze some use cases and identify optimal modeling patterns, by taking into account the constraints of the application context. We will pinpoint the benefits, but also the tradeoffs that come with each pattern. These patterns will become our tools of the trade for taking full advantage of the power and flexibility of this document database, and building efficient applications.
The Little Mongo DB Schema Design Book
The Little MongoDB Schema Design Book, covers the fundamentals off Schema design with MongoDB, as well as several useful Schema design patters for your applications. I wrote this book to be a helpful and concise guide to MongoDB Schema design, as well as a repository to look up specific MongoDB Schema patterns. This book came around, due to my experiences teaching people about using MongoDB for application development. It tries to cover essential information that you can apply to your own applications. We cover a lot of different aspects of Schema Design in this book. These include. Schema Basics including one to one, one to many and many to many relationships Embedding versus linking Bucketing Strategy Understanding the MongoDB MMAP and WiredTiger storage engine MongoDB Indexes The Metadata Schema Pattern Time Series Schema Pattern Queues Schema Pattern Nested Categories Schema Pattern Account Transactions Schema Pattern Shopping Cart Schema Pattern with and without product reservation A Theater Ticket Reservation Schema Pattern An Embedded Array Cache Schema Pattern An Internationalization Schema Pattern Sharding The book aims to provide developers with a deep but concise understanding of how to efficiently work with MongoDB.
MongoDB Applied Design Patterns
Author: Rick Copeland
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2013-03-15
Whether you're building the newest and hottest social media web site or developing an internal-use-only enterprise business intelligence application, scaling your data model has never been more important. Traditional relational databases, while familiar, present significant challenges and complications when trying to scale up to such "big data" needs. Into this world steps MongoDB, a leading NoSQL database, to address these scaling challenges while also simplifying the process of development. However, in all the hype surrounding big data, many sites have launched their business on NoSQL databases without an understanding of the techniques necessary to effectively use the features of their chosen database. MongoDB Applied Design Patterns provides the much-needed connection between the features of MongoDB and the business problems that it is suited to solve. The book's focus on the practical aspects of the MongoDB implementation makes it an ideal purchase for developers charged with bringing MongoDB's scalability to bear on the particular problem you've been tasked to solve.