XWalk White Book
  • XWalk
  • Market Background
    • 1.1 Current State of the Tourism Market
    • 1.2 Trends in Travel Services: Freedom and Customization
    • 1.3 Traditional Platforms Unable to Meet Personalized Travel Needs
  • Web3 Applications in the Tourism Industry
  • What is Web3 & Crypto Coin
    • 3.1 What is Web3?
    • 3.2 What is Cryptocurrency?
    • 3.3 Analysis of Cryptocurrency and Web3 Users
  • XWalk Encrypted Travel
    • 4.1 Customized Private Travel for Members
    • 4.2 Tourism and Financial Freedom
    • 4.3 Core Concept of XWalk: Tourism Creates Value, Value Returns to Users
    • 4.4 How XWalk Changes the Tourism Industry
    • 4.5 Real World Assets (RWA) in the Tourism Industry
    • 4.6 XWalk Membership System
    • 4.7 XWalk NFT
    • 4.8 Ecological Economic Model
    • 4.9 X Base
    • 4.10 XWalk Reserve Fund
    • 4.11 X Merchant Loyalty Program
  • Technical Architecture
    • 5.1 Key Technical Features
    • 5.2 System Architecture Overview
    • 5.3 System Components
    • 5.4 Technology Stack
    • 5.5 Technical Implementation Details
    • 5.6 API Development and Management
    • 5.7 Database Design and Data Storage
    • 5.8 User Management and Membership System
    • 5.9 Transaction Management and Token Economy
    • 5.10 Security Measures and Data Protection
    • 5.11 Testing Strategy and Deployment Pipeline
    • 5.12 Future Enhancements
  • Development Roadmap
  • END
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  • 5.7.1 Database Architecture Design
  • 5.7.2 Data Storage Solutions
  1. Technical Architecture

5.7 Database Design and Data Storage

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Last updated 10 months ago

5.7.1 Database Architecture Design

  • Users: Stores user details such as ID, name, email, and membership level.

  • Bookings: Manages travel bookings including ID, user ID, booking details, and status.

  • Payments: Records payment transactions including ID, booking ID, amount, currency, and status.

  • Proposals: Handles proposals and their voting results.

  • Votes: Manages voting data.

5.7.2 Data Storage Solutions

  • PostgreSQL: Stores relational data such as user, booking, and payment information.

  • MongoDB: Stores semi-structured data such as travel itineraries and user preferences.