Window Aggregations | Stream Processing
One of the most common use cases of stream processors is aggregating different values based on time windows. Aggregations range from sum and average to max or min. Windows range from fixed interval windows to sliding windows and even more complex session-based ones.
🥹 If you found this helpful, follow me online here:
✍️ Blog / irtizahafiz
👨💻 Website https://irtizahafiz.com/
📲 Instagram / irtiza.hafiz
0:00 What is Windowing?
03:00 States & Memory
04:00 What Time to use for windowing?
06:00 Late Data & Windowing
09:20 Which time to use for your windowing?
#streaming #flink #beam #kafka #programming