Practical MongoDB Aggregations
The official guide to developing optimal aggregation pipelines with MongoDB 7.0
Created by Paul Done
Explore how to build and optimize aggregation pipelines using MongoDB 7.0. You will learn to streamline data manipulation, solve processing bottlenecks, and apply best practices for working with arrays and complex datasets. Gain practical skills to handle real-world data analysis challenges efficiently.
Packt | Mar 2024 | 278 min
What You Will Learn
You will work through real-world examples and use cases that demonstrate how to build, tune, and troubleshoot aggregation pipelines. Each topic focuses on actionable techniques, showing you how to handle arrays, optimize for performance, and solve common data challenges directly within MongoDB.
Key Features
- Design and optimize aggregation pipelines for fast, scalable data processing
- Apply practical solutions to common data manipulation and analysis problems
- Aggregate and analyze time series data in financial and IoT scenarios
Target Audience
Ideal for developers, architects, analysts, engineers, and data scientists with a working knowledge of MongoDB. If you want to deepen your expertise in data aggregation and unlock advanced data processing capabilities, you will benefit from these practical, hands-on techniques.
