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Course Outline
Introduction
- What is MongoDB's Aggregation Framework?
- Aggregation Framework versus Map-Reduce
Understanding Aggregation Concepts
- Aggregation pipelines
- MongoDB aggregation stages
- Use cases and examples
Getting Started
- Installing and configuring MongoDB
- Exploring MongoDB Compass and Studio 3T
- Basic CRUD operations
Aggregation Basics
- Structure and syntax
- Query conditions ($match)
- Inclusion and exclusion of fields ($project)
- Grouping documents ($group)
- Working with arrays ($unwind)
- $lookup and $graphLookup stages
- Expression operators
Advanced Operations in Aggregation
- Categorising documents ($bucket)
- Multi-faceted aggregations ($facet)
- Accumulator expressions ($accumulator)
- Writing results to a collection ($merge)
Optimising Aggregation Pipelines
- Projection optimisation
- Pipeline sequence optimisation
- Pipeline coalescence optimisation
- Indexes and document filters
Troubleshooting
Summary and Next Steps
Requirements
- A foundational understanding of data analysis concepts.
- Practical experience with MongoDB.
Audience
- Data analysts
- Data scientists
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
