Common stream data processing patterns

In this section, we will talk about various processing patterns for unbounded data. Unbounded data patterns differ from bounded or fixed width data. As with every data stream, the context in which old records were processed changes. Therefore, stream processing is continuous and only true at a given time. In this section, we will cover some of the patterns common to any type of stream processing. Let's look at them one by one.

Unbounded data batch processing

You can always process unbounded data in batch mode. You can achieve this by slicing or converting unbounded data to bounded data. A common technique for performing that is called windowing or tumbling windowing. In this process...