May 2017
Beginner to intermediate
596 pages
15h 2m
English
Content preview from Data Lake for Enterprises
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Sliding window configuration
As the name suggests, the window slides over the data stream. Because of this sliding nature, the windows tend to overlap with other sliding windows. Due to this the data stream events in one windows can belong to other windows as well. Again, this can be configured for both time and count windows by appropriate configuration.
The following figure shows the sliding window in action:
Figure 16: Sliding window
In this section, we just have skimmed through one of the important Flink’s capability of windowing, that is a mandatory functionality especially for processing infinite data streams. These become more significant ...