Traditional batch processing techniques can be slow when handling large data sets that arrive continuously. In contrast, data streaming is a robust method that enables real-time processing of such data.
Quix Streams is a Python library that enables data streaming by leveraging Streaming DataFrames, which are similar to pandas DataFrames used for batch processing.
This familiar interface allows pandas users to easily build stream processing pipelines with minimal code.
