MongoDB Data Modeling Path
This learning path guides you through the foundational steps of creating an effective data model in MongoDB
When you complete this learning path, you will receive 50% off a MongoDB Associate Data Modeler Exam attempt.
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MongoDB Data Modeling Path
Data Modeling for MongoDB Overview
RequiredUnit
| John McCambridge, Eliza Spang, Sarah Evans, Emily Pope, Daniel Curran, Vick Mena, Parker Faucher3 Minutes
Gain an overview of data modeling in MongoDB and learn about the example application used throughout the Data Modeling for MongoDB course.Schema Design Patterns
RequiredUnit
| John McCambridge, Sarah Evans, Emily Pope, Daniel Curran, Vick Mena, Parker Faucher1 Hour
Learn how to apply schema design patterns to an application which is the third step of data modeling with MongoDB.Advanced Schema Design Patterns
RequiredUnit
| Manuel Fontan Garcia, Sarah Evans, Emily Pope, Daniel Curran, John McCambridge, Vick Mena2.75 Hours
Learn how to apply advanced schema design patterns to an application to improve performance and avoid common anti-patterns.Schema Design Anti Patterns
RequiredUnit
| Sarah Evans, Manuel Fontan Garcia, Emily Pope, Daniel Curran, Vick Mena1 Hour
Learn about common anti-patterns and how to avoid them when data modeling with MongoDB.Modeling Data Relationships
RequiredUnit
| Sarah Evans, Eliza Spang, Emily Pope, Daniel Curran, Vick Mena, John McCambridge45 Minutes
Learn how to identify and model data relationships in an application which is the second step of data modeling with MongoDB.MongoDB Indexes
RequiredUnit
| Laura Gutierrez Munoz, Daniel Curran, John McCambridge1.75 Hours
Learn how to improve MongoDB performance by learning how to create single, compound, and multikey indexes as well as how to delete indexes.MongoDB Indexes II
RequiredUnit
| John McCambridge, Jordan Smith, Vick Mena, Parker Faucher3 Hours
Learn about the inner workings of indexes and how they help improve query performance.