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MongoDB Data Modeling

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Focus on data usage and better design schemas with the help of MongoDBAbout This BookCreate reliable, scalable data models with MongoDBOptimize the schema design process to support applications of all kindsUse this comprehensive guide to implement advanced schema designsWho This Book Is ForThis book is intended for database professionals, software developers, and architects who have some previous experience with MongoDB and now want to shift their focus to the concepts of data modeling. If you wish to develop better schema designs for MongoDB-based applications, this book is ideal for you.

What You Will LearnOptimize your models based on prioritiesDiscover the schemaless document-oriented database designImprove the process of querying a document with the help of indexingSet up a sharded environment with replicationConfigure the read preference in accordance with your application's requirementsCreate effective indexes that will fit your application needsUnderstand how to analyze the performance of your queries to avoid performance issuesIn DetailThis book covers the basic concepts in data modeling and also provides you with the tools to design better schemas. With a focus on data usage, this book will cover how queries and indexes can influence the way we design schemas, with thorough examples and detailed code.

The book begins with a brief discussion of data models, drawing a parallel between relational databases, NoSQL, and consequently MongoDB. Next, the book explains the most basic MongoDB concepts, such as read and write operations, indexing, and how to design schemas by knowing how applications will use the data. Finally, we will talk about best practices that will help you optimize and manage your database, presenting you with a real-life example of data modeling on a real-time logging analytics application.

202 pages, Kindle Edition

First published June 22, 2015

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