Hi,
I have a periodic retraining of a long running job (a decision tree
trained on a large amount of historical data) that needs retrained on a
daily/weekly/long period basis.
These models are used in spark streaming to score incoming data, I would
like to understand what is best practice for triggering the retrain.
> Should the spark batch job live in complete isolation from the
streaming one?
> Should the streaming job some how trigger the running of the long
running batch job, if so how would you recommend?
Does anyone know or a good blog post or article giving heads up on what
system design for this might look like?
Thanks a Million,
Anthony
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