Aggregate Across MongoDB Documents

MongoDB provides a framework for aggregation based on a data pipeline model. In this framework, documents enter the pipeline and pass through stages that transform data. The end stage returns aggregated results.

MongoDB is a popular non-relational database that supports various data types, including dates and numbers. The pipeline uses native operations and provides efficient aggregation.

In this guided project, you will discover how to create aggregated results from multiple MongoDB documents. You will learn how to gain insight into the data by combining simple aggregation operators to create pipelines. With an aggregation pipeline, you will practice sorting, limiting, grouping, and averaging data. You will explore pipeline operations that return sums, minimum values, and maximum values. You will transform data in stages, from finding averages and sorting outputs to determining key values.

This guided project will prepare you to use aggregation pipeline expressions, optimize pipeline behavior to find many types of aggregated values, and analyze aggregated data successfully.

A Look at the Project Ahead
Once you have completed this project, you'll be able to:

Describe simple aggregation operators that process and compute data such as $sort, $limit, $group, $sum, $min, $max, and $avg
Combine operators to create multi-stage aggregation pipelines
Build aggregation pipelines that draw insights about the data by returning aggregated values

What You’ll Need
Just a web browser!

Everything else is provided to you via the IBM Skills Network Labs environment, where you will have access to the MongoDB service that we offer as part of the IBM Skills Network Labs environment. This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

Your Instructor
Ramesh Sannareddy

Aggregate Across MongoDB Documents

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