Course Outline
Introduction
- What is MongoDB's Aggregation Framework?
- Aggregation Framework vs 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 $graphLookup stages
- Expression operators
Advanced Operations in Aggregation
- Categorizing documents ($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
- An understanding of data analysis concepts
- Experience with MongoDB
Audience
- Data analysts
- Data scientists
Testimonials (5)
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.
Ian - Archeoworks Inc.
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Rapid and efficient VM Azure and top-notch support
Tom Leonard - Civadis
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Machine Translated
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
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I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.
Cristian Tudose - SC Automobile Dacia SA
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