Creating an excellent database structure for your eCommerce business is essential. You have to ensure that your site stands out from your competitors and impresses customers at the same time.
Not optimizing your database design also makes a slow and inefficient site. As a result, Google will penalize slow-loading sites with lower SEO rankings. As a result, a site may lose the ability to gain organic search traffic and generate leads. Moreover, if data is scattered, it complicates modifying your database managers.
In this post, we’re going to explore the nine best practices for designing an effective eCommerce database:
9 Best Practices for Designing an Effective eCommerce Database
Pick a specific database type
Choosing the right database type is vital to the whole database design process. Currently, there are two different types of databases.
The first focuses on query languages database use in defining and modifying data. Next, SQL-based Databases seamlessly integrate with machine learning, web analytics, and the Internet of Things (IoT).
That’s why getting the right database management support is essential. These databases provide higher flexibility, scalability, and speed. Another way to segregate them is based on data models like hierarchical, network, relational, and object-oriented databases. Thus, you need to know the different types of databases and choose what’s right for you.
Create a layout to organize your data effectively.
If you have a thoroughly designed database, you can ensure that your eCommerce database is a long-term solution that doesn’t need a lot of changes and updates when running your business.
A database scheme usually determines database design. This is usually based on a specific diagram or rules. For example, integrity constraints are written in a database language such as SQL, which generally defines how your data is arranged, processed, and stored.
Determine the size of the product catalog
You also have to know the number of products you want to showcase before choosing a database. That’s because scalability can be an issue here. So, make sure you make the necessary assessments before choosing.
Keep your tables normalized.
In a nutshell, normalization is a process wherein you organize your data in tables that only include the data it needs to have and nothing more. Doing so reduces the risk of duplication and redundancy, making your data easier to work with.
There are three primary benefits to keeping your eCommerce database normalized:
- Enhanced performance: If you organize your data efficiently, it’s also easier and quicker to query.
- Decreased storage requirements: You’ll also use less disk space because there’s less duplicate data.
- Easy to maintain: Normalized data is much simpler to change or update. Meaning your database will also be so much easier to keep up-to-date.
Choose the correct data types.
Data types are stored in a column, and every type has unique characteristics.
Therefore, choosing the correct data type is vital since it can affect how your data will be stored, processed, and retrieved. If you pick the right data type, you can avoid having incomplete or inaccurate data.
To pick the right data type, you need to know the application’s requirements and the nature of the data you’re working with. You can choose the data type that best fits your criteria as soon as you understand these things well.
Remove data redundancy
If you have duplicate data, it complicates the developer’s job even more. Therefore, companies must adhere strictly to normalization rules to avoid these problems.
Here are examples of bad outcomes of redundancies:
- Increased chances of inconsistent data
- Decreased database efficiency
- Corrupted data
- Unnecessary inflation of the size of your database
However, there might be some cases wherein data redundancy is required. Thus, if your business goes for redundancy in your processes, you must document it. This documentation helps you change your systems in the future easily.
Emphasize ease of use
The amount of customization required to adapt your database for your eCommerce site easily is also something that you need to consider.
An excellent database design tool is convenient in helping you set up visual database models and develop flowcharts and actionable database models.
Store your database in an efficient system
You might find that your product database comprises several spreadsheets, vital in maintaining a secure system where you can easily find and keep several backups.
But by opting for a cloud system, you can upload virtually thousands of spreadsheets in a single product database for your eCommerce store. It lets you edit, optimize and automate product catalogs in bulk. All your data can also be easily accessed and secure in the cloud.
Test your database design
Your eCommerce database is the foundation of your eCommerce store. It is where all customer data, product data, and order data are stored. If there are any database issues, then this could cause severe repercussions for your business.
That’s why setting your database design before launching your store is vital. By testing your design, you can find and solve any potential issues before they can cause significant damage.
Load testing usually stimulates real-world traffic conditions to test how your database performs when placed in normal conditions. But first, you need to know whether your database can handle the traffic you’re expected to receive.
Meanwhile, stress testing pushes your database to its limits. It lets you respond to higher levels of traffic and lets you know whether or not your database can handle high spikes of traffic. Both are vital in ensuring your database is up to running your e-commerce store.
Over to You
So there you have it. Modern databases are incredibly agile, flexible, and valuable to your business. However, your business needs data to drive your decisions and boost revenue.
So, make sure that you employ these tactics. With a better structure and more accessible access, data eventually becomes a powerful tool to scale your business. In addition, these best practices will help you enhance your database design and give you a competitive edge. Good luck!