Thanks to the big data revolution, the modern business world collects and analyzes millions of bytes of data every day. However, regardless of the business sector or industrial field, the key to making data-driven decisions requires proper skills and tools that ease data collection, storage, and analysis. In other words, if a business wants to make strategic decisions that solve real-life problems while boosting profits, it must leverage data science skills, one of them being SQL.
But before we dive into SQL projects with real-life applications, let’s take a quick look at the basic concept behind SQL.
What is SQL?
SQL stands for Structured Query Language, a standard database language used for creating, maintaining, and retrieving relational databases. All Relational Database Management Systems (RDMS) such as MS Access, MySQL, SQL Server, Sybase, Oracle, Postgres, and Informix use SQL as their established database language.
Since its inception in the 1970s, SQL has become an essential resource in every data scientist’s toolkit. It allows data scientists to access, update, insert, manipulate, and modify data and facilitates communication with relational databases to properly understand datasets. Today, SQL finds application in most web applications and websites and is undoubtedly a critical skill that all budding data science professionals should master.
Top 10 Real-Time SQL Projects for Practice
Theory on one side, the real test of understanding is when you can successfully design and build a database with real-life applications. A great way to hone your conceptual knowledge of SQL is to implement real-time SQL projects. So, here are some exciting SQL projects for practice that will help you boost your confidence and problem-solving skills in relational databases.
1. Student Database Management
A simple project for beginners, creating a student database management system, is to keep a record of students’ general information. An automated student database system streamlines the admission process and subsequent student information management of an educational institution to a considerable degree. The project should handle general student information such as name, address, contact details, year of admission, course admitted in, etc., and other essential particulars like results, attendance, scholarships, fees, etc.
2. Centralized College/University Database
A college or university has several academic departments. Now, each department offers varied courses, and a professor can teach more than one course. For example, a professor that takes a class on poetry may also teach literary criticism. As a student of English, you can enrol in both of these courses, and as such, a particular course within a department can have any number of students. The purpose of a centralized college/university database is to manage data related to the departmental courses, students enrolled in them, the instructors involved, etc.
3. Railway System Database
A railway system database is for the record-keeping and management of railway data such as trail details, schedules, train routes, passenger booking information, railway stations, etc. To make this SQL project more simplified, you can assume that all trains run regularly and undertake a one-day journey to their respective destinations. Hence, you can use this system database for recording various details for each station in a rail route, such as the time of arrival and departure of trains and the sequential number of the station.
4. e-Ticket Booking
Suppose you want to create a database for railway e-ticket booking that allows customers to book tickets over the internet. Many factors are involved in ticket reservation, such as train details, station details, route details, passenger details, booking details, etc. While designing the project, keep in mind that once a seat is booked, it should be blocked so that no other customer can book it again. Also, if a user is already booking, another user cannot access the same. A similar idea can be applied to flight and bus ticket bookings as well.
5. Library Management System
A classic SQL project idea, a library management system is a database designed to issue books and let users browse various books under different titles and genres. It is one of the most fundamental SQL projects for beginners and uses Asp.Net C#, Visual Studio C#, and a local database. Typically, a Library Management System has an entry for every book issued, its unique ID, who issued it, the issue duration, any fine, etc.
6. Hospital Management Database
A hospital management system is a software or web-based system for managing the day-to-day functioning of a hospital or any medical set up. It is a systematic and reliable record of patients, doctors, rooms, duties of staff, patients’ discharge summary, and other details which the administrator can control. In such a database, all persons have a unique ID linked with their roles and duties. In addition, it gives access to the necessary details such as the availability of doctors and nurses, vacant rooms for patients, etc.
7. Online Retail Application Database
With e-commerce businesses experiencing an unprecedented surge in growth, online retail application databases have become one of the most popular SQL projects among beginners and advanced learners alike. Such a database allows a customer to register and make a purchase on an online shopping website. The registration process typically collects customer name, address, contact information, and bank details to generate a unique order ID and a bill with the necessary details of the purchase.
8. Book Store Inventory Management
Creating and managing an online book store inventory is a pretty simple SQL project idea for beginners. Here, users can browse books online and also order books, in which case, the inventory gets updated, and the book count gets reduced. In addition, users can filter their search for a particular book based on the genre, author name, price, book name, etc. Users can also search books of a specific author. The admin of the inventory can add or delete books. The inventory management system keeps stocks at an optimal level to meet customer demands without delay.
9. Payroll Management System
This is one of the most popular SQL projects that find applications across almost every industry. The payroll management system of an organization records the monthly payments, social security, and taxes of its employees. It computes their monthly salaries using data such as name, designation, benefits, pay scale, etc. The management system also keeps a record of employees’ attendance, including the leaves taken. The software then uses specific formulas to generate output in the form of payslips and bank files.
10. Carbon Emission Calculator
At a time when almost every nation is taking steps to reduce its carbon footprint, carbon emission calculators are bound to receive global attention. It is an SQL server web application that measures the carbon footprint of buildings based on such data as the type of building, floor area, the climatic zone it is located in, the kind of water fixtures, etc. The project emphasizes the hot and trending topic of environmental protection, and the emissions given as outputs can be correlated to water and energy use, solid waste disposal, transportation, etc.
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Is SQL suitable for beginners?
SQL is the programming language of choice for databases and is used across many industries and sectors. It not only helps understand datasets and manages vast volumes of data but is also easy to learn and use. Undoubtedly, it is an in-demand skill in data science and a gateway to a promising career in data science.
Is SQL easier than Java?
Both Java and SQL are in-demand programming languages and find applications in data-related operations. However, SQL may be considered easier than Java for two main reasons. First, Java is a general programming language, whereas SQL is a domain-specific language for relational database management. Moreover, SQL is a declarative language with semantic syntax, making it relatively simpler.
Can you use Python with SQL?
The purpose of SQL is to query and extract data while also allowing data merging from multiple tables within a database. However, SQL alone cannot perform complex data manipulations and transformations such as time series, regression tests, and the like. That’s where Pandas, Python’s specialized library, comes in handy. So, SQL can fetch the data while Python further manipulates the structured data.