Course Overview
This course provides a comprehensive exploration of schema design and data modeling in MongoDB. It covers the transition from relational to document-based models, explores essential schema patterns and anti-patterns, and demonstrates advanced optimization techniques. Students will learn how to make strategic decisions about data structure to optimize query performance, data consistency, and application scalability.
Course Format
The course is formatted into four lessons. It is recommended to go through the lessons in sequential order as the content and complexity builds as you progress. The lessons are formatted as slide decks with detailed instructor notes. They can be used as lectures during the semester, for asynchronous learning, and or/ as complementary material to self-paced learning on MongoDB University.
Skill Badges
Each lesson in this course corresponds to a Skill Badge. At the end of each lesson deck is a link to the Skill Check assessment. The Skill Check is a 10-question assessment that can be taken as many times as needed. Once passed, learners earn the corresponding Skill Badge, a free credential they can add to their resume and professional profiles.
Skill Badges validate competency in specific MongoDB topics and demonstrate commitment to professional development. We encourage both you and your students to earn these badges throughout the course.
Lesson Slides
Relational to Document Model
Schema Patterns and Anti-patterns
Advanced Schema Patterns and Anti-patterns
Schema Design Optimization
The materials are freely available for non-commercial use and are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.