Unleashing the Power of SQL in Airport Car Rental Systems

Introduction

Step into the high-flying realm of SQL mastery, where we delve into the creation of an Airport Car Rental System Database. In this second SQL project, we transcend the mere construction of databases; we engineer the very backbone of an efficient and seamless car rental experience that takes off from the runway of meticulous data management.

Query 1 - Igniting the Database - The Genesis of Airport_Car_Rental

In this initial query, we initiate the database creation process for Airport_Car_Rental. This pivotal step establishes the framework for a resilient structure that forms the backbone of the complete car rental system. As we commence the initialization of this database, we pave the way for a complex interplay of data, essential for powering an advanced and efficiently organized car rental experience at the airport.

Query 2 - Establishing Core Tables for Seamless Operations

In this step, we delve into the core structure of our Airport_Car_Rental database by executing Query 2. This query creates four vital tables – Customers, Cars, Reservations, and Rentals. These tables are designed to facilitate the insertion, management, and storage of crucial data, forming the foundation for the seamless functioning of our car rental system.

Let's briefly outline the purpose of each table:

1.???? Customers Table:

·??????? Designed to store information about our clientele.

·??????? Includes fields for customer details such as names, contact information, and additional relevant data.

2.???? Cars Table:

·??????? Serves as the repository for details about each vehicle in our fleet.

·??????? Captures essential information like make, model, and reservation status.

3.???? Reservations Table:

·??????? Manages data related to customer reservations.

·??????? Tracks reserved vehicles, associated customers, and relevant timeframes.

4.???? Rentals Table:

·??????? Records completed transactions between customers and vehicles.

·??????? Captures rental start and end dates, forming a historical record of past interactions.

The SQL code screenshot provides a visual representation of the code used to create these tables, laying the groundwork for an efficient and organized Airport Car Rental System.

Query 3 - Data Insertion for Operational Integrity

In this query, we focus on infusing the database with life through meticulous data insertion. The provided SQL code corresponds to the details in the accompanying screenshot, outlining a precise protocol for populating Customers, Cars, Reservations, and Rentals tables. The seamless integration of each record and data injection ensures operational integrity and sets the stage for a responsive Airport Car Rental System

.Query 4

In Query 4, using [SELECT * FROM Cars;], we scrutinized our data only to discover a significant oversight: the 'RentalRatePerDay' column exhibited uniform rates across all cars. This unexpected uniformity in rates is a genuine error, demanding immediate attention. The revelation underscores the importance of thorough data validation and quality assurance in our database development journey.

Query 5

To address this issue, we employ the UPDATE command, as illustrated in the attached screenshot. The solution involves executing the same query for each of the 10 vehicles, with only the rate and CarID parameters being adjusted accordingly.

Result

Query 6

Upon scrutinizing our reservations table, a substantial omission surfaced: the absence of the 'TotalCost' column, a pivotal metric reflecting clients' financial obligations to the car rental business. This column is indispensable for capturing the cumulative cost incurred by clients throughout the anticipated duration of car usage.

Recognizing the significance of this omission, we promptly took corrective action. The following SQL query was implemented to seamlessly integrate the 'TotalCost' column into our database, ensuring comprehensive and accurate financial tracking within our Airport Car Rental System.

Query 7

In the process of populating the 'TotalCost' column in our reservations table, we engaged in fundamental SQL arithmetic operations. The objective was to calculate and assign values to the 'TotalCost' column based on a specified formula, which is visually presented in the attached screenshot. By applying this formula, we ensure accurate and consistent computation of the total cost associated with each reservation

Query 8

In a parallel fashion, we executed a comparable SQL query to calculate and populate the 'TotalDays' column in our reservations table. This specific column aims to capture the duration for which a car is hired by a customer. Employing a formula akin to the one illustrated in the accompanying screenshot, we ensure accurate computation of the total number of days for each reservation.

Result

Query 9

Presently, a crucial aspect arises within our database architecture, featuring the reservations, cars, and customers tables. The challenge at hand is to seamlessly integrate these tables, enabling a comprehensive overview of each customer's reservation juxtaposed with the associated booked car. To address this, we employ the SQL Join function, specifically opting for a left join between reservations and customers. This strategic utilization allows us to retrieve and showcase pertinent details such as customer information, car ID, and the precise start and end dates of each car reservation

Query 10

In response to the evolving landscape post-pandemic, with the current year being 2024, the owner of the car rental endeavours to streamline the fleet. The objective is to identify and enlist all cars procured in 2020 or earlier for potential sale, with plans to replace them in 2025 as their warranties near expiration.

To facilitate this transition, we leverage the SQL 'SELECT' statement in conjunction with the 'FROM' and 'WHERE' clauses. Specifically, we retrieve the relevant information by filtering cars based on their acquisition year. The query is designed to capture and present a comprehensive list of cars purchased in 2020 or earlier, laying the groundwork for informed decision-making regarding their sale and subsequent replacement in 2025.

Conclusion

In this SQL exploration, we've delved into the intricacies of database creation, correction, and optimization specific to the Airport Car Rental System. From initiating the database to addressing anomalies and introducing essential data, each query represents a strategic step towards technical proficiency.

As we conclude this journey, the amalgamation of technical precision and strategic problem-solving has shaped a robust database. It not only upholds operational integrity but also serves as the cornerstone for a responsive and dynamic car rental system. Our SQL-driven efficiency propels us into a future where data orchestrates a seamless and technically sound car rental experience within the airport domain. This ongoing journey advances with each carefully crafted SQL query, establishing the groundwork for an impressive portfolio.

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