MongoDB and the Document Model
Learn about the MongoDB document model and the data types it supports. In addition, learn basic principles of data modeling in MongoDB and how to use Atlas to manage your documents and collections.
MongoDB and the Document Model
Unit Overview
In this unit, you'll learn how the MongoDB document model offers flexibility and durability in order to meet the needs of modern applications. First, learn how documents are structured and the data types that are supported. Then, you'll learn how to create a database and a collection, and insert a document. Finally, you'll start to build a foundation in data modeling by learning concepts such as data relationships, embedding, and referencing.
Prerequisite
Lessons in This Unit
- Lesson 1: Overview of the Document Model
- Lesson 2: Data Types in MongoDB
- Lesson 3: Managing Databases, Collections, and Documents in Atlas
- Lesson 4: Data Relationships
- Lesson 5 - Embedding and Referencing
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01.
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02.Lesson 2: Data Types in MongoDB
- Learn
- Practice
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03.Lesson 3: Managing Databases, Collections, and Documents in Atlas
- Learn
- Practice
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04.Lesson 4: Data Relationships
- Learn
- Practice
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05.Lesson 5: Embedding and Referencing
- Learn
- Practice
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06.Conclusion
- Learn

Sequoyha Pelletier | Senior Technologist
Sequoyha Pelletier is a Senior Technologist at MongoDB, bringing over 15 years of experience in technical curriculum development and delivery. Before joining MongoDB, he worked in the Worldwide Support team for DataStax, eventually leading the curriculum team for new hire onboarding.
Sequoyha is extremely passionate about providing quality education for free to those in need and enjoys pushing the boundaries of what is considered "normal" practices with delivering educational content.

Manuel Fontan Garcia | Senior Technologist
Manuel is a Senior Technologist on the Curriculum team at MongoDB. Previously he was a Senior Technical Services Engineer in the Core team at MongoDB. In between Manuel worked as a database reliability engineer at Slack for a little over 2 years and then for Cognite until he re-joined MongoDB. With over 15 years experience in software development and distributed systems, he is naturally curious and holds a Telecommunications Engineering MSc from Vigo University (Spain) and a Free and Open Source Software MSc from Rey Juan Carlos University (Spain).

Colleen Day | Curriculum Designer
Colleen is a Curriculum Designer at MongoDB. She holds a Masters degree in English literature from NYU, and is passionate about using writing as a vehicle to teach. She has worked as a writing instructor and ghostwriter, and has spent her career focused on educational content development. For several years, Colleen was the lead editor for The Princeton Review’s “Cracking the SAT” and other test prep books. Prior to MongoDB, she was Senior Managing Editor for boot camp courses on data science and fintech, partnering with subject matter experts to design and deliver courses for learners of all levels.

Daniel Curran | Senior Curriculum Designer
Daniel is a Senior Curriculum Designer at MongoDB. Before joining MongoDB, he worked as an Instructional Designer and Content Developer specialising in technical content for a host of international clients. Daniel's goal is to remove obstacles so learners can feel confident on their journey to become masters of MongoDB.

Sarah Evans | Senior Curriculum Engineer
Sarah is a Senior Curriculum Engineer on the Curriculum team at MongoDB. Prior to MongoDB, she taught and developed curricula for developer bootcamps. Sarah has a MAT degree from Columbia University Teachers College and studied Software Engineering at Flatiron School in Chicago, IL.

John McCambridge | University Curriculum Engineer
John is a Curriculum Engineer on the University team at MongoDB. Before his work as a Curriculum Engineer, he was an instructor and teaching assistant for coding boot camps at UT (Austin), and UCLA. Additionally, he worked as a QA engineer for a startup called Coder and spent five years at Apple Inc. John is a passionate software engineer and educator who enjoys taking complex topics and making them digestible for the community.

Davenson Lombard | Senior Software Engineer
Davenson Lombard is a Senior Software engineer at MongoDB on the Education Team. Prior to that, Davenson was a Technical Services Engineer at MongoDB and a Customer Success architect at Confluent. Davenson holds a Bachelor in Electrical Engineering from Concordia University in Montreal.