Building your first MEAN application

on YouTube ↗41m

" summary

Focuses on MongoDB as the data engine in a MEAN stack and claims a JSON document model speeds prototyping and avoids heavyweight joins. Builds a working City of Toronto service-request dashboard with Angular + nvd3 directives, Node/Express REST routes and Mongoose ODM to save new requests; charts come from server-side queries using the aggregation pipeline. Covers sharding and replica sets for scale, shows the app is responsive, and warns to index fields that fit in RAM.

AI-written summary · about

" chapters (17)

1. 0:00Intro
2. 1:13Why MongoDB?
3. 3:48Terminology
4. 6:56Document Data Model
5. 8:02Documents are Rich Data Structures
6. 10:47Document Model Benefits
7. 12:07Performance
8. 13:55Drivers & Ecosystem
9. 14:35MEAN Stack
10. 18:13Node.js MongoDB Driver
11. 22:48Mongoose (getting started)
12. 25:29Mongoose (example)
13. 26:03Visualizing data
14. 34:23Getting started with MEAN
15. 36:26Scalability
16. 37:36High Availability
17. 39:13MongoDB Architecture

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