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Data Exchange Web Applications for Community Halls - Coggle Diagram
Data Exchange Web Applications for Community Halls
Key Applications and Elements
Core Features
: Advanced Search, user profiles, commenting, reporting
User Roles
: Event planners, artist, students (discerning analysis of needs)
Purpose
: Intuitive platform for discovering/books community venues
System Components
: Responsive web app, robust API integration, secure database
Data Exchange
Interfaces
: RESTful APIs (JSON data interchange)
Data Structures
: Normalized database schemas, efficient data models
Data Specifications
: OpenAPI specification (Swagger)
Data Flows
: Secure request/response cycles, stateless communication
Exchange Methods
: Optimized API consumption, HATEOAS
Data
Security
Authentication
: Multi-factor (biometrics, 2FA), role-based access control
Data Encryption
: End-to-end (symmetric-key), transport layer (SSL/TLS)
Content Monitoring
: AI-based inappropriate content detection
Risk Analysis
: Data breaches, DDoS attacks, insider threats (in-depth)
Security Strategy:
Defense in depth, principal of privilege
Problem Analysis
Data Structures
: Locations, amenities, costs (normalized)
Exchange Methods
: API integration, data transformation
Risks
: Data integrity, availability (astute determination)
Code Components
: Registration, search, CRUD operations
Requirements
: Performance, scalability, usability (logical determination)
Security
: Data confidentiality, system resilience
Criteria
: Accessibility, efficiency, maintainability (essential)
Evaluation and Recommendations
Impacts
Personal (accessibility, data privacy)
Social (community engagement, cultural events)
Economic (venue booking revenue)
Evaluation
Criteria (usability, security, performance)
Strengths (responsive design, robust APIs)
Weaknesses (complex architecture, data inconsistency)
Refinements
: Regression testing, performance optimizations
Security
Data masking, encryption key rotation
Continuous monitoring, incident response
Solution Components
Data Structures
: Venue, User, Comment (efficient modeling)
Algorithms
Registration (secure password storage)
Search (indexed, optimized queries)
CRUD operations (data validation)
Code
API client (connection pooling)
Data mapping (ORMs)
Caching (optimized performance)
Architecture
: Microservices, containerization (scalable, decoupled)
Personas
Eva Rodriguez (Event Planner)
Accessibility: Visual Impairements
Needs: Quick venue search, easy navigation
Bill Harper (Local Artist)
Accessibility: Partially def
Needs: Highlight unique venue features
Sophie Mohamed (Year 12 Student)
Accessibility: Dyslexia
Needs: Simple, user-friendly interface