What are some common mistakes in stream processing?

What are some common mistakes in stream processing?

Some common mistakes include not handling late data, failing to manage state effectively, and ignoring data skew.

Can you explain why handling late data is important?

Handling late data is crucial because it ensures that your stream processing system remains accurate and up-to-date, preventing data loss.

What strategies can I use to manage state effectively?

You can use techniques like stateful processing, checkpointing, and maintaining a compact state representation to manage state effectively.

How can I avoid data skew in my streams?

To avoid data skew, you can use techniques like partitioning your data evenly and employing load balancing strategies.