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.
Author Name: Buddhini Samarakkody
Author Description:
Buddhini is an EdTech Enabler/ Author / Instructor / Lecturer / Trainer and a Senior Java Engineer who is passionate about learning and exploring new technology as well as sharing her knowledge with others in the most learner friendly and effective manner. Buddhini always looks for challenging work and opportunities to learn and develop herself as well as to teach what she knows, to other technology enthusiasts. With her 19 years of experience in the IT/Software Development industry, Buddhini h… more

Table of Contents

• Course Overview
  1min
• Discovering the Need for Map-reduce in MongoDB
  27mins
• Creating Custom JavaScript Functions for Map and Reduce
  20mins
• Applying Custom JavaScript Functions to MongoDB Map-reduce
  23mins
• Putting the Pieces Together: Build a Complete Map-reduce Solution in MongoDB
  27mins