Pluralsight – Querying Data Using Map-reduce in MongoDB 2025-1

Querying Data Using Map-reduce in MongoDB course. This course teaches participants how to use Map-Reduce to analyze large data sets and aggregate information in MongoDB. This technique is known as a powerful method for processing big data and allows users to transform large data sets into compact and meaningful results by writing Map and Reduce functions in JavaScript. During the course, the importance of Map-Reduce is first examined compared to other data aggregation methods in MongoDB. Then, how to design custom Map and Reduce functions to properly process and aggregate data is taught. Finally, participants learn how to apply these functions to MongoDB datasets to extract the desired results. After completing the course, individuals will be able to use Map-Reduce to analyze data in real projects and benefit from this feature in data processing.

What you will learn

• Understanding the need for Map-reduce: Participants will learn why Map-reduce is needed among other MongoDB aggregation capabilities.
• Creating Custom Map and Reduce Functions: Learn how to create Map and Reduce functions in JavaScript to perform Map-reduce operations.
• Applying Map-reduce operations: Learn how to use your own custom functions to perform Map-reduce operations on MongoDB datasets.
• Aggregation of results: They gain the ability to aggregate results across large documents.
• Leveraging MongoDB’s aggregation capabilities: Gain the skills needed to use Map-reduce for big data analysis.

This course is suitable for people who:

• People looking to analyze big data in MongoDB.
• Developers who need to aggregate large amounts of document data.
• Those who want to work with Map and Reduce functions in JavaScript for MongoDB.
• People looking to gain skills in Map-reduce for their data processing projects.