Master the MongoDB Aggregation Pipeline

سرفصل های دوره

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.

01 - Introduction

01 - Unlock your data with MongoDB aggregations

02 - Application and data model

02 - 1. MongoDB Aggregation Framework

01 - Overview of the MongoDB aggregation framework

02 - Aggregation pipeline stages

03 - Aggregation vs. standard queries

04 - Aggregation pipeline vs. map-reduce

03 - 2. Working with the Aggregation Pipeline

01 - $match, $sort, $limit

02 - Transforming data with aggregations

03 - Adding and removing data with aggregations

04 - 3. Aggregation Pipeline Stages

01 - Persisting aggregation results with $out

02 - Joins in MongoDB with $lookup

03 - Working with arrays and $unwind

05 - 4. Advanced Aggregations

01 - Custom aggregation functions

02 - Custom aggregation accumulator

03 - Performance and optimization of the aggregation pipeline

06 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)