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schema Data Modelling
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    Data Engineering Path  ·  Data Modelling
    UBER & RIDE-SHARING CASE STUDY

    Step 2: Entity Identification (Uber)

    To capture the complex ride-dispatch ecosystem, we define 7 core tables:

    🔹 RIDERS — Customer Accounts
    Attribute Data Type Description
    rider_id INT, PK Primary Key
    first_name VARCHAR Attribute
    last_name VARCHAR Attribute
    email VARCHAR, UNIQUE Attribute
    rating DECIMAL Attribute
    🔹 DRIVERS — Service Partners
    Attribute Data Type Description
    driver_id INT, PK Primary Key
    first_name VARCHAR Attribute
    last_name VARCHAR Attribute
    license_number VARCHAR Attribute
    status ENUM: 'offline', 'active_idle', 'on_trip' Attribute
    rating DECIMAL Attribute
    🔹 VEHICLES — Fleet Data
    Attribute Data Type Description
    vehicle_id INT, PK Primary Key
    driver_id INT, FK Link to driver
    plate_number VARCHAR Attribute
    model VARCHAR Attribute
    color VARCHAR Attribute
    🔹 TRIPS — Core Lifecycle Log
    Attribute Data Type Description
    trip_id INT, PK Primary Key
    rider_id INT, FK Foreign Key
    driver_id INT, FK, NULL Null until accepted
    pickup_lat & pickup_lng DECIMAL Attribute
    drop_lat & drop_lng DECIMAL Attribute
    status ENUM Attribute
    fare DECIMAL Attribute
    requested_at TIMESTAMP Attribute
    🔹 PAYMENTS — Financial Log
    Attribute Data Type Description
    payment_id INT, PK Primary Key
    trip_id INT, FK Foreign Key
    payment_method ENUM: 'cash', 'card', 'wallet' Attribute
    amount DECIMAL Attribute
    status ENUM: 'pending', 'completed', 'failed' Attribute
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