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Next Session:

Start: 17 Sep 2019 at 17:00 UTC

End: 08 Oct 2019 at 17:00 UTC

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Instructor: Daniel Coupal

Daniel is a Curriculum Engineer on the Education team at MongoDB. Daniel was part of the Technical Support Team at MongoDB before transferring to the Education Department. Prior to MongoDB, he had different roles as a consultant, developer, and manager of development and tool teams.

Instructor: Yulia Genkina

Yulia is a Curriculum Engineer at MongoDB. Prior to MongoDB Yulia worked at Stuyvesant High School where she taught Computer Science to hundreds of unsuspecting students.

Instructor: Norberto Leite

Norberto Leite is Curriculum Lead at MongoDB. For the past four years, Norberto has worked on scalable distributed application environments as an advisor, engineer, and instructor. Prior to MongoDB Norberto served as a Big Data Engineer at Telefonica.

What You'll Learn

After completing this course, you should have a good understanding of how to create data models for MongoDB.

We will go over a few techniques, from a very simple process for simple schemas to more complex ones for large teams and large projects.

Prerequisites:
M001 and software architecture experience with data modeling or MongoDB experience in general.

What You'll Build
You'll build a solid understanding of frequent patterns to apply when modeling and will be able to apply those in your designs.
Course Details
  • Duration: 5 chapters
  • Each week we release new video lectures and new assignments.
  • Your final grade for the course will be comprised of weekly assignments.
Agenda
  • Chapter 1: Introduction to Data Modeling
  • Chapter 2: Relationships
  • Chapter 3: Patterns (Part 1)
  • Chapter 4: Patterns (Part 2)
  • Chapter 5: Conclusion
System Requirements
  • Web Browser: Firefox 39.0+ or Chrome 43+ (Internet Explorer is currently not supported)
  • Operating System: Mac OS X 10.7+ 64-bit, Ubuntu 14.04+ 64-bit, or Windows 8+ (64-bit)
  • MongoDB 4.0.0+

FAQ

MongoDB University courses are free.

You will need access to a computer and YouTube. A recent Windows, macOS, or Linux based machine will work fine.

No. The course is self-paced and will be broken down into short pre-recorded video segments with periodic assessments to check on your progress.

You will receive a final grade but the grade won't be on your course completion confirmation. To receive a certificate of completion, you will need to achieve 65% on graded material. There are three different types of assessments within the course: quizzes, labs and final exam. Quizzes don't count toward your grade but will help you check your understanding. The labs will comprise one half of your grade and the final exam/project one half of your grade. Unfortunately, due to a large number of students and in the interest of fairness, late assignments cannot be accepted.

Each course has an active online forum where students can help each other. In addition, the instructor(s), teaching assistants and other MongoDB employees will monitor the forums and try to help. Often the fastest answer comes from another student.

Not at all! MongoDB Enterprise suite is free for evaluation purposes. So no need to worry about licenses.