Watermarking your windows

Transcript

Welcome Back. We learned to aggregate your data over a time-based window. However, we also learned that some of your records might be coming late to your system. Spark gracefully handles these late coming records. And we have seen that in the previous example. Let me quickly refresh the idea. In the earlier example, we simulated a scenario to creat... Read More