Getting Started with MongoDB using Node.js
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The document outlines a workshop on using MongoDB with Node.js, covering topics such as CRUD operations, RESTful APIs with the Express framework, and complex queries with the aggregation pipeline. It emphasizes the advantages of MongoDB Atlas, including easy scaling and serverless functions through MongoDB Realm. Additionally, it discusses data modeling best practices and provides resources for further learning.
![Data Modeling: Schools and Students
• Duplicate Data [Non-Problem]
• Easy to Query
• Potentially Small Documents [Non-Problem]
• Easy to Maintain](https://image.slidesharecdn.com/gettingstartedwithmongodbusingnodejs-201016153355/85/Getting-Started-with-MongoDB-using-Node-js-22-320.jpg)
![CRUD: Find [FindMany]](https://image.slidesharecdn.com/gettingstartedwithmongodbusingnodejs-201016153355/85/Getting-Started-with-MongoDB-using-Node-js-29-320.jpg)
Getting Started with MongoDB using Node.js
- 1. Getting Started with MongoDB using Node.js HackNC Workshop Nic Raboy | Senior Developer Advocate | MongoDB | nraboy.com
- 2. Agenda RESTful APIs with Express Framework Complex Queries with the Aggregation Pipeline CRUD Operations with MongoDB Data Modeling with BSON Documents The MongoDB Cloud Webhook Functions with Realm
- 3. Configuring and Interacting with MongoDB The MongoDB Cloud
- 4. MongoDB Atlas Cloud Hosted MongoDB No servers to manage and no operations skills required. Forever Free Tier Deploy a free “M0” cluster in minutes, no credit card needed. Easy Scaling Scale up or down as needed with a click of the mouse.
- 5. MongoDB Realm Serverless Functions Eliminate backend development with functions and triggers. Mobile Sync Offline-first mobile development that syncs when able. GraphQL GraphQL APIs with no development needed.
- 15. Working with JSON Data Data Modeling with BSON Documents
- 16. Data Modeling: Schools and Students
- 17. Data Modeling: Schools and Students
- 18. Data Modeling: Schools and Students • Large Documents • Potentially Poor Performance • RDBMS?
- 19. Data Modeling: Schools and Students
- 20. Data Modeling: Schools and Students • Unmanageable • Large Documents • Potentially Poor Performance • Potentially Difficult to Query
- 21. Data Modeling: Schools and Students
- 22. Data Modeling: Schools and Students • Duplicate Data [Non-Problem] • Easy to Query • Potentially Small Documents [Non-Problem] • Easy to Maintain
- 24. Create, Read, Update, Delete CRUD Operations with MongoDB
- 25. CRUD: InsertOne
- 26. CRUD: InsertMany
- 27. CRUD: FindOne
- 28. CRUD: FindOne
- 30. CRUD: UpdateOne
- 31. CRUD: UpdateMany
- 32. CRUD: DeleteOne
- 33. CRUD: DeleteMany
- 34. $match, $group, $search, $lookup, and more! Complex Queries with the Data Aggregation Pipeline
- 35. Aggregation Pipeline: $match, $group
- 37. Aggregation Pipeline: $match, $unwind, $match
- 38. POST, GET, PUT, DELETE and more! RESTful APIs with Express Framework
- 40. Express Framework: Connect to MongoDB
- 41. Express Framework: API Endpoints
- 42. Express Framework: Data Validation
- 44. Serverless Functions and MongoDB Webhook Functions with Realm
- 48. Points and Key Take-Aways Conclusion
- 49. Conclusion Take advantage of MongoDB Atlas! There isn’t a one size fits all solution to a NoSQL data model. MongoDB APIs are the same (sort of) between drivers and tools. The MongoDB Node.js driver is not framework dependent. Realm is a valid alternative to the Node.js driver.
- 50. Resources Twitch: https://www.twitch.tv/mongodb Podcast: https://www.mongodb.com/podcast Developer Portal: https://developer.mongodb.com Community Forums: https://community.mongodb.com Me (Nic Raboy): https://www.nraboy.com
- 51. Thank You Connect With Me Online! Nic Raboy | Senior Developer Advocate | MongoDB | nraboy.com