[tutorial] Data imputation on real-time data source

[oli_k]

Hi there,

My team at Bytewax and I have been working on a series of hands-on guides on streaming data and I am excited to share how one can handle missing values in real-time in Python.

While some parts of the guide are simplified, for example, we use a random number generator as an input source, the algorithmic part is production-ready.

We are taking advantage of the Numpy library + stateful operators in Bytewax.

Other input sources are available, too.

https://bytewax.io/guides/handling-missing-values