How often should data delivery occur?

The frequency of data delivery depends on the specific task and the requirements of the machine learning model. For example:

• For real-time systems (such as recommendation systems, online analysis), data should be received with minimal delay — in streaming mode or at intervals of a few seconds to minutes.
• For offline model training, periodic data loading is sufficient — for example, once a day or every hour.

It is important to consider the balance between data relevance and infrastructure load. The delivery frequency should ensure timely model updates without excessive resource consumption or data redundancy.