adattágyságú

adattágyságú is a Hungarian adjective that translates to "data-scalable" or "scalable in terms of data" in English. It describes a system, application, or process that is designed to handle increasing amounts of data efficiently and effectively. This scalability is crucial in today's digital landscape where data volumes are constantly growing.

A system that is adattágyságú can accommodate larger datasets without a significant degradation in performance. This means that as more users, transactions, or information are added, the system can continue to operate at an acceptable speed and responsiveness. Achieving adattágyságú often involves architectural considerations such as distributed computing, efficient database design, and optimized algorithms.

When referring to software or hardware, adattágyságú implies that the underlying infrastructure can be expanded or adjusted to manage the growing data load. This might involve adding more servers, increasing storage capacity, or employing more sophisticated data processing techniques. The concept is closely related to general scalability but specifically emphasizes the ability to manage and process data.

In essence, adattágyságú highlights the capacity of a system to grow alongside the data it manages, ensuring its continued utility and performance in the face of increasing data demands. It is a key characteristic for modern applications and services that rely on large datasets for their operation and insights.