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Proper data base design

The ubiquitous data that depicts our reality requires appropriate storage space. Proper database design is the basis for the efficient administration, processing and analysis of data in our information society and within its corresponding systems. Data is not just data! They all require treatment appropriate to their intended use. This starts with an adequate database design. But what exactly does this undertaking look like?
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What is database design?

Database design is the process of creating a detailed database structure that allows data to be stored, managed, and retrieved efficiently. It comprises various steps and corresponding principles to ensure that the database is logically and functionally organized, redundancies are minimized, and data integrity and consistency are ensured. A well-thought-out database design is crucial for the performance, scalability, and maintainability of a database system.

What does “proper” database design actually mean?

In this case, “right” database design means designing a database structure that is efficient, scalable, maintainable and secure, while meeting the specific requirements of the application and its users. It is about applying best practices and principles to ensure that data is optimally organized and managed. Such a process is always relational, i.e. it involves thinking carefully about explicit use in advance and establishing a best practice that is supported by an adequate database design.

What makes for proper database design?

You can speak of successful database design when the functionality and enforcement efficiency are significantly increased. Good database design includes the structured planning and organization of databases in order to minimize redundancies, ensure a high level of data integrity and ensure improved performance over the long term. A well-thought-out database design not only makes it easier to store and access important information, but also optimizes the scalability and maintainability of the entire system. Principles such as normalization, relationship definition, and indexing are used to create a robust and flexible data model that fully meets the requirements of users and applications. In the end, it is always about enforcement in accordance with a solid database: it is thus about data management.

Conclusion: database design and data management

The alliance of data management and functional database design is definitely an issue to consider for every company. How to store data, make it retrievable and establish the necessary access to it depends on many adjustments, including the security and appropriate access control required in each case, on the size of the data and the associated degree of scalability, and on issues of normalization and data integrity. A well-designed database system takes all of these aspects into account and thus ensures robust, efficient and secure data management.

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