8 Strokes to Screw up your Database Design

No list of mistakes is ever going to be exhausted. People make a lot of silly mistakes, at times, in the name of “getting things done.” The list simply reflects the database design mistakes that are currently hammering on your mind. Your database is the heart for the successful operation of your data center, yet databases pose extraordinarily complex in managing. Fortunately, the database isn’t a rocket science involved until you get really deep under the hood of your database tuning.

A bad database leads to a lost client and even more loss of business. In this blog, we will help you with how to screw your database design. Let’s start to stray from what is right in terms of database design practices. So take a look at these terms for better understanding.

1. Architecture that Matters

The database is the cornerstone of every business project. If you don’t do proper planning and design of your database, then you are putting your database at risk. The most important rule: Before you do anything, you absolutely must be confidential with the data. Take time to plan the structure properly in the beginning and you’ll have a smooth running database built for scale and flexibility.

2. Ignoring Normalization

Normalization defines a set of methods to break down tables to their constituent parts until each table represents table formation. There are many developers who make a cursory pass through the data and normalize it into small parts, and that could be avoided. Take the time to break down your data, normalizing at least to 2nd or 3rd Normal form. So normalizing your data is essential to good performance, and ease of development.

3. Poor Naming Standards

Names are the first and most important terminology for your database. The names you choose are not just to enable you to identify the purpose of an object, but you may not be the same person who has to manage it five years later, so it’s important to make sure that columns and categories follow a set pattern and are clear, simple, and descriptive.

4. Lack of Testing

Testing is the first thing to go into a project plan before time slips a bit. Testing should be carried out in a systematic, standardized procedure. It’s like user acceptance “testing” usually amounts to is the users poking around, trying out the functionality that they understand, and giving you the thumbs up if their little bit of the system works. Deep system testing will allow you to fully examine the quality of the data and the implementation will help you to give a database that is faster and more reliable.

5. Poor Indexing

Indexing is a data structure that allows you to quickly retrieve records from a database file. If you make a little mistake at the time of indexing, eventually it will affect your database. Without proper indexing, your database will slow down and create difficulties. Perhaps the only thing that causes as much trouble as no indexing is too much indexing.

6. Hackneyed of Stored Procedures

A stored procedure is a SQL code that you can save, so the code can be reused over and over again. Use them whenever possible insulate the database layer from the users of the data. While creating any new stored procedure make sure it is absolutely necessary. Stored procedures make database development much clear, and encourage collaborative development between your database and functional programmers.

7. Unnecessary Complexity

If you have a database that is highly complex with the help of hacks or tricks, you may end up in a vulnerable position. Recording and storing critical data in a convoluted way, when it can be done much simpler, don’t try to overlay your data as it creates a mess. You are not only who is going to refer to the database, other people may struggle to fully understand the complexity and make sense of it.

8. Lack of Security Patches and Fixes

The most important thing is to secure your database as much as possible. So before putting your data into a database, “check the patch level, look at the way it’s configured, and see which defaults are potentially vulnerable and look what provides default users features that are turned on by default. As databases have weak authentication controls, and well-known default passwords, both for user and administrator accounts.

Conclusion

Database design and implementation is the cornerstone of any project and should be treated in a manner when you are developing. In this blog, I have covered all the preachy points for your existing or creating a new database which helps you with proper planning, normalization, strong naming standards, indexing, and many more. Not only this but at the end of the result, you realize that success comes from starting off right as much as finishing right. If you’re finding anyone for a complete bespoke database or fine-tune an existing one, we are here to help you. You just need to drop a line here and we will be with you within 24hrs.