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MongoDB Aggregation Pipeline: Advanced Data Analysis and Manipulation

1h 17mAdvanced2023-01-05

Authors

Ado Kukic

Developer Advocate and Full Stack Developer

Course details

The MongoDB Aggregation Framework allows developers to manipulate and transform data stored in a MongoDB database to fit almost any use case. The aggregation pipeline consists of a series of user-defined stages that manipulate data to produce a final result. The aggregation framework is a very powerful, but also complex tool. In this course, instructor and full-stack developer Ado Kukic explores advanced data analysis and manipulation topics in MongoDB. Ado shows you how to properly use the aggregation framework, highlighting potential use cases and best practices, and shares tips and tricks to help you get even more value from your MongoDB databases.

Skills covered

MongoDBAdvancedDatabase DevelopmentDatabase ManagementData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceSoftware Development

Concepts

0. Introduction

01 - Unlock your data with MongoDB aggregations
02 - Application and data model

1. MongoDB Aggregation Framework

03 - Overview of the MongoDB aggregation framework
04 - Aggregation pipeline stages
05 - Aggregation vs. standard queries
06 - Aggregation pipeline vs. map-reduce

2. Working with the Aggregation Pipeline

07 - $match, $sort, $limit
08 - Transforming data with aggregations
09 - Adding and removing data with aggregations

3. Aggregation Pipeline Stages

10 - Persisting aggregation results with $out
11 - Joins in MongoDB with $lookup
12 - Working with arrays and $unwind

4. Advanced Aggregations

13 - Custom aggregation functions
14 - Custom aggregation accumulator
15 - Performance and optimization of the aggregation pipeline

Conclusion

16 - Next steps