---
title: "Discussion on \"MongoDB Schema Design: Lessons from Production\" | Hashnode"
description: "Discussion on \"MongoDB Schema Design: Lessons from Production\". Embedding vs reference, denormalization, TTL indexes, Date comparison pitfalls - practical MongoDB schema design patterns from production."
url: "https://hashnode.com/posts/mongodb-schema-design-lessons-from-production/6991f3c5b88791e3dfb457c4"
---

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# [MongoDB Schema Design: Lessons from Production](https://jungjun-sung.hashnode.dev/mongodb-schema-design-lessons-from-production?utm_source=hashnode&utm_medium=feed)

Embedding vs reference, denormalization, TTL indexes, Date comparison pitfalls - practical MongoDB schema design patterns from production.

Feb 15 · 6 min read · jungjun-sung.hashnode.dev  
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-   [#mongodb](https://hashnode.com/tag/mongodb)
-   [#schema-design](https://hashnode.com/tag/schema-design)
-   [#databases](https://hashnode.com/tag/databases)
-   [#mongoose](https://hashnode.com/tag/mongoose)
-   [#backend](https://hashnode.com/tag/backend)

## Written by

[JungJun Sung](https://hashnode.com/@JungJun-Sung)

@JungJun-Sung · Ottawa, ON, Canada

  
[View profile](https://hashnode.com/@JungJun-Sung)

Full-Stack Developer | React, Next.js & Cloud Enthusiast (AWS/Docker)

Full-Stack Developer with 3+ years of expertise in the JavaScript ecosystem (React, Next.js, TypeScript, Node.js). Currently operating as an independent developer, architecting and shipping scalable products including a global travel platform. I am passionate about building efficient, type-safe web architectures and actively expanding my expertise into Cloud Engineering with AWS, Docker, and Kubernetes.

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