| layout | default |
|---|---|
| title | Chapter 4: Data Management |
| parent | Dyad Tutorial |
| nav_order | 4 |
Welcome to Chapter 4: Data Management. In this part of Dyad Tutorial: Local-First AI App Building, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.
Data is the lifeblood of modern applications. In this chapter, we'll explore how to connect your Dyad applications to databases and manage data effectively.
- SQLite (local development)
- PostgreSQL
- MySQL/MariaDB
- MongoDB
- Firebase/Firestore
Connect to a PostgreSQL database with user authentication and session management
Create structured data models:
Create user model with fields: id, email, name, created_at, preferences
Establish data relationships:
Set up relationships between users, posts, and comments with foreign keys
Add functionality to create new records with form validation
Implement data fetching with filtering, sorting, and pagination
Build edit forms for updating existing records
Add delete functionality with confirmation dialogs
Add form validation for required fields, email formats, and data types
Implement backend validation with error handling and user feedback
Add search functionality and advanced filtering options
Implement CSV/PDF export for reports and data backup
Add real-time data synchronization across multiple users
- Implement proper authentication
- Use parameterized queries
- Sanitize user inputs
- Implement caching strategies
- Use database indexes
- Optimize queries
You've learned data management fundamentals. Next, we'll explore API integration.
Ready for APIs? Continue to Chapter 5: API Integration
Generated by AI Codebase Knowledge Builder
flowchart TD
A[Virtual filesystem layer] --> B{Operation}
B -->|Write| C[Buffer change in memory]
B -->|Read| D[Overlay on top of disk files]
C --> E[User reviews diff]
E -->|Accept| F[Flush to real filesystem]
E -->|Reject| G[Discard virtual changes]
D --> H[Consistent state for LLM context]