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Querying Data Using Map-reduce in MongoDB

by Buddhini Samarakkody

MongoDB’s Map-reduce stands strong as the number one choice for big data analytics. Learn about condensing a large volume of document data into a small set of aggregated results by creating versatile map and reduce functions in JavaScript.

What you'll learn

Working with large volumes of document data for analytics requires the power and flexibility of MongoDB’s Map-reduce feature. In this course, Querying Data Using Map-reduce in MongoDB, you’ll gain the ability to get yourself fully equipped to confidently apply the Map-reduce pattern to any data set no matter how large it could be. First, you’ll discover the requirement for Map-reduce among other aggregation capabilities of MongoDB. Next, you’ll explore how to create a custom JavaScript map function and a reduce function that are needed to perform map and reduce operations. Finally, you’ll learn how to use these custom functions to perform a Map-reduce operation on a MongoDB data set to aggregate results across documents. When you’re finished with this course, you’ll have the skills and knowledge of working with the Map-reduce function in MongoDB that will help you leverage the power of MongoDB’s aggregation feature for data crunching requirements in your next project.

Table of contents

Course Overview

About the author

Buddhini is a Senior Java Engineer/ Author/ Instructor/ Lecturer & Trainer having over 19 years of industry experience working with multi-national Software Companies. She has worked in many mission-critical projects in domains such as Supply Chain Management, POS & Electronic Content Management, mainly based on the Java & Java EE tech stack. As a result of her love for teaching & mentoring, at present she is an Author/Instructor for some of the leading online learning platforms including Plurals... more

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