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Course Outline
Introduction
- What constitutes MongoDB's Aggregation Framework?
- Comparison between the Aggregation Framework and Map-Reduce.
Understanding Aggregation Concepts
- Aggregation pipelines.
- MongoDB aggregation stages.
- Use cases and practical examples.
Getting Started
- Installing and configuring MongoDB.
- Exploring MongoDB Compass and Studio 3T.
- Performing basic CRUD operations.
Aggregation Basics
- Structure and syntax.
- Query conditions using $match.
- Inclusion and exclusion of fields using $project.
- Grouping documents using $group.
- Working with arrays using $unwind.
- Utilizing $lookup and $graphLookup stages.
- Expression operators.
Advanced Operations in Aggregation
- Categorizing documents using $bucket.
- Multi-faceted aggregations using $facet.
- Accumulator expressions using $accumulator.
- Writing results to a collection using $merge.
Optimizing Aggregation Pipelines
- Projection optimization.
- Pipeline sequence optimization.
- Pipeline coalescence optimization.
- Indexes and document filters.
Troubleshooting
Summary and Next Steps
Requirements
- Basic knowledge 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.
