The art of designing a good database schema is a bit like landing an aircraft: it is fairly easy to start, but relatively difficult to master. A good relational model is what makes a database exceptional and powerful. However, creating a good table layout for your PostgreSQL database requires a fair amount of theoretical and practical knowledge. Expertise in database modeling is definitely needed.
This is where CYBERTEC comes in: based on many years of experience with PostgreSQL, we help you to create well-structured data models that are adapted to your business model and specific needs. Our experts make sure your database is high-performing and future-proof.
If you are uncertain how to optimize your data models and how to get the best out of PostgreSQL, our consultants are happy to help with adjusting your structures, so that your system runs optimally. Our database modeling services include, but are not limited to:
In the relational world, normalization can be really helpful to fix your data structure. Normalization is the process of organizing columns and tables in a way that data redundancy is reduced and data integrity is improved at the same time.
Academia suggests using so-called “Normal forms”, which should be followed in order to create a good, solid, future-proof data model. They eliminate redundant data and ensure proper storage of the most valuable commodity in your company: high quality data.
Having a fully functional and correct data model is already a good start. However, if you want to have an exceptional model there is a lot more to consider. In many cases, even small changes can produce a huge benefit.
For example: Did you know that changing the order of columns can make a real difference? Arranging columns in a clever way can speed up your database and noticeably reduce the storage footprint of your table. If you want to know more, check out the following blog post: Shrinking the storage footprint
Contact us today to receive your personal offer from CYBERTEC. We offer timely delivery, professional handling, and over 20 years of PostgreSQL experience.
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