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Have you ever wondered, “How do I model my schema for my application?” It’s one of the most common questions devs have pertaining to MongoDB. And the answer is, it depends. This is because document databases have a rich vocabulary that is capable of expressing data relationships in more nuanced ways than SQL. There are many things to consider when picking a schema. Is your app read or write-heavy? What data is frequently accessed together? What are your performance considerations? How will your data set grow and scale?

In this video, Joe Karlsson will discuss the basics of data modeling using real-world examples. You will learn common methodologies and vocabulary you can use when designing your database schema on your application.

Chapters 📑
0:00 Intro
0:18 Why is schema design important?
1:21 Relational vs. MongoDB schema design
4:16 One to One
4:41 One to many
6:10 One to Squillions
8:02 Many to Many
8:57 Wrap Up

💬 What topics do you want to see covered next? Leave a comment below!

🔗 These ARE the links you are looking for 👋:
MongoDB Schema Design Anti-Patterns - Part :    • Schema Design Anti-Patterns - Part 1  

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