Managing data efficiently is crucial for any business. But “managing data efficiently” in an online searchable database is easier said than done. It involves at least four steps:
In this guide, we’ll walk you through the process of building a robust online searchable database using SQL and relational databases. First, we will map out the traditional, slow way. Then we will present a much faster and cost-efficient alternative using Five.
If you are entirely new to relational databases and SQL, let’s understand the basics first:
Structured Query Language (SQL) is the standard programming language for managing and manipulating relational databases. Understanding SQL basics is essential for building a powerful and efficient online searchable database. To learn SQL, we recommend W3 School’s free SQL tutorial.
Relational databases offer a structured way to organize data into tables, providing a clear and efficient method for data retrieval and management. This is much more efficient, and consequently faster than storing information in a spreadsheet, for example.
Clearly outline the purpose and goals of your online searchable database. What is the database about? Customers? Orders? Products? Be clear on the database’s purpose, and define its objectives clearly. Our advice: define your objectives narrowly at the start and don’t go overboard with what your database is trying to accomplish in its first iteration.
Identify the types of data you’ll be handling, potential relationships between data tables, and the specific information users will search for.
Next, create a blueprint for your database by defining tables, fields, and relationships. You can do this using pen and paper, and without going into every detail about your database.
For example, think about your database tables first and how they are related. Map this out in an Entity-Relationship-Diagram (ERD). Test your assumptions by thinking through your table structure from multiple angles. Next, add the fields to each table, and define what their data types are (strings, numbers, floats, etc.).
Select a reliable DBMS that aligns with your project requirements. Popular choices include MySQL, PostgreSQL, and Microsoft SQL Server. Each has its strengths, so choose one that suits your needs.
Follow step-by-step instructions to install and configure your chosen DBMS. For example, a popular tool to work with MySQL databases is MySQL Workbench. PostgreSQL and Microsoft SQL Server come with their own set of tools.
Learn SQL to create tables, specifying data types, constraints, and relationships. Writing these statements can be done in MySQL Workbench, for example.
Define relationships between tables using primary and foreign keys. This step is crucial for creating a connected and searchable database!
Explore SQL Data Manipulation Language (DML) to insert data into your tables. Follow best practices for maintaining data integrity.
Ensure that your database is populated correctly by running test queries. Address any issues or inconsistencies in the data.
Select a technology stack for building your search interface. Consider using web development frameworks like Django, Ruby on Rails, or Flask for seamless integration with your SQL database.
Build SQL queries that enable efficient and accurate data retrieval. Optimize queries to enhance search speed and performance.
Secure your database by setting up user roles, permissions, and encryption. Protect against SQL injection attacks and unauthorized access by defining password policies, governing access, and defining CRUD permissions.
If your database is growing quickly, consider setting up a future growth and plan for scalability. For example, you can optimize your database structure and indexing for performance as data volume increases.
Five is an online database builder that comes with everything required to develop and launch an online searchable database on the web. Five gives you:
There are several advantages to using Five instead of following the traditional way of creating your searchable database:
To create your first database app, follow this beginner-friendly guide on how to convert an Excel spreadsheet to a web app.
Creating an online searchable database using SQL and relational databases is a powerful way to streamline data management and retrieval. By following this comprehensive guide, in which we’ve presented two ways to create an online searchable database, you’ll be well-equipped to build a robust system that meets your specific needs. Stay organized, adhere to best practices, and unlock the full potential of your data with a well-designed and searchable database.