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Course Outline
Introduction
- Overview of MongoDB's Aggregation Framework.
- Comparison between Aggregation Framework and Map-Reduce.
Understanding Aggregation Concepts
- Aggregation pipelines.
- Stages within MongoDB aggregation.
- Practical 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 ($match).
- Field inclusion and exclusion ($project).
- Document grouping ($group).
- Handling arrays ($unwind).
- $lookup and $graphLookup stages.
- Expression operators.
Advanced Operations in Aggregation
- Document categorization ($bucket).
- Multi-faceted aggregations ($facet).
- Accumulator expressions ($accumulator).
- Writing results to a collection ($merge).
Optimizing Aggregation Pipelines
- Projection optimization.
- Pipeline sequence optimization.
- Pipeline coalescence optimization.
- Indexes and document filters.
Troubleshooting
Summary and Next Steps
Requirements
- Foundational understanding of data analysis concepts.
- Previous 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.
