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Big Data Analytics with R

You're reading from   Big Data Analytics with R Leverage R Programming to uncover hidden patterns in your Big Data

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781786466457
Length 506 pages
Edition 1st Edition
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Author (1):
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Simon Walkowiak Simon Walkowiak
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Simon Walkowiak
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Table of Contents (10) Chapters Close

MongoDB with R


After the short introduction provided earlier, you should now be able to define the basic characteristics of a variety of NoSQL databases. In this part of the book, we will explore the features and practical applications of MongoDB.

Introduction to MongoDB

MongoDB is one of the examples of non-relational data storage systems, and it also supports a number of data processing and analytics frameworks such as complex aggregations and even MapReduce jobs. All these operations are carried out by the means of MongoDB NoSQL queries - an alternative to the standard SQL language for querying relational databases. As you will soon find out, MongoDB NoSQL commands are very expressive and quite simple to learn. The only problem that most users encounter is the quite convoluted syntax (BSON format) for complex aggregations and queries, but we will explore this issue in the following sections.

MongoDB data models

One of the reasons for this difficulty in writing very complex aggregations using...

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