Stream processing refers to the computer programming architecture for continuously collecting, modifying, or exporting data as it is produced or received. This method is typically used instead of [[Batch Data Processing|batch processing]] when the timeliness of the data is critical to the business needs and the data is needed in real-time. %% wiki footer: Please don't edit anything below this line %% ## This note in GitHub <span class="git-footer">[Edit In GitHub](https://github.dev/data-engineering-community/data-engineering-wiki/blob/main/Concepts/Data%20Processing/Stream%20Data%20Processing.md "git-hub-edit-note") | [Copy this note](https://raw.githubusercontent.com/data-engineering-community/data-engineering-wiki/main/Concepts/Data%20Processing/Stream%20Data%20Processing.md "git-hub-copy-note")</span> <span class="git-footer">Was this page helpful? [👍](https://tally.so/r/mOaxjk?rating=Yes&url=https://dataengineering.wiki/Concepts/Data%20Processing/Stream%20Data%20Processing) or [👎](https://tally.so/r/mOaxjk?rating=No&url=https://dataengineering.wiki/Concepts/Data%20Processing/Stream%20Data%20Processing)</span>