MongoDB Aggregations Explained
Getting insights from data stored in a database can be challenging, especially when there are millions or even billions of records to process.
In this chapter, you will learn how the MongoDB aggregation framework is designed to make mass data processing, analysis, and reporting intuitive and performant. Even though you may already be familiar with building basic aggregation pipelines, this chapter will lay a solid foundation to help you understand the mindset required for building more powerful, optimized aggregations for the real world.
By the end of this chapter, you will have a grasp of the following:
- The purpose and design of the MongoDB aggregation framework
- The MongoDB aggregation language's approach for building aggregation pipelines
- Relevant use cases for the MongoDB aggregation framework
- Suggestions for tools to use to run aggregation pipelines and how to get help if you get stuck
