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Querying Data Using Map-reduce in MongoDB
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.
This Course Includes
pluralsight
4 (20 reviews )
1 hour 40 minutes 
english
Online - Self Paced
core courses
pluralsight
About Querying Data Using Map-reduce in MongoDB
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.
What You Will Learn?
- 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.