Redundanzarmes

Redundanzarmes is a German term that translates to "low redundancy" or "minimal redundancy." It is often used in technical contexts, particularly in engineering, computer science, and data management, to describe systems, designs, or data structures that have been optimized to eliminate or minimize unnecessary repetition.

The goal of reducing redundancy is to improve efficiency, reduce storage space, and enhance reliability. In systems design, a low-redundancy approach means that each component or piece of information serves a distinct purpose and is not duplicated unnecessarily. This can lead to simpler designs, easier maintenance, and a lower risk of inconsistencies arising from multiple copies of the same data.

In data management, low redundancy is a core principle of database normalization. Normalized databases aim to organize data in a way that minimizes redundant storage and avoids data anomalies. This is achieved by breaking down large tables into smaller, linked tables, ensuring that each piece of data is stored only once.

While minimizing redundancy is generally beneficial, it's important to note that complete elimination of redundancy might not always be desirable or feasible. In some cases, a controlled amount of redundancy can be introduced for specific purposes, such as improving performance through caching or enhancing fault tolerance through replication. The key is to achieve a "redundanzarmes" state, meaning redundancy is kept to a necessary minimum rather than being completely absent.