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Airport Baggage Handling System (ANDB)

Overview

This project focuses on creating and managing system requirements using Jira for an Airport Baggage Handling System as part of the ANDB (Advanced Database Systems) subject.

The work is organized into time-boxed sprints, where Jira tasks are used to design, validate, and implement a database-driven baggage management solution using SQL Server and Power BI.


Objectives

  • Design and implement Airport database
  • Conect sql server to Power BI
  • Create summaries and reciept template and generation

System Scope: Baggage Handling at an Airport

The baggage handling system covers the lifecycle of baggage from check-in to aircraft loading and arrival reclaim.

Key Processes

  • Passenger baggage check-in
  • Baggage tagging and tracking
  • Aircraft loading and unloading

Jira Usage

This project uses Jira to plan and track sprint-based development activities.

Sprint Information

Sprint Name: Airport Sprint 1

Sprint Duration: 4 December – 18 December

Sprint Goal: Within this 2 week sprint deliver the first functional foundation of the baggage management system by enabling the team to register validate store and retrieve baggage data and also to provide initial visibility of baggage data through basic dashboards

Sprint Tasks

  • Design baggage database schema
  • Database registration of checked-in baggage
  • Baggage weight validation
  • Baggage loading list generation
  • Develop baggage location dashboard UI
  • Passenger receipt and confirmation generation
  • Build flight statistics reporting module

Tools and Technologies

  • Jira – Used for sprint planning, task tracking, and requirement management
  • Microsoft SQL Server – Used for designing and implementing the baggage handling database
  • Power BI – Used for creating dashboards and reports for baggage location and flight statistics

Author

Created for ANDB coursework by

  • Szymon Skarbek
  • Anna Radosz
  • Maciek Pajkowski

License

This project is for educational purposes only.

About

Design of airport Database and showing its possible analytics created by 3 person team as part of college study

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