+1 That would be a great idea! Thanks for sharing this.
Would just like to chime in on Druid + ML model cases: predictions and anomaly detection on top of TensorFlow ❤ Regards, On Fri, Jan 10, 2020 at 6:41 AM Roman Leventov <leventov...@gmail.com> wrote: > Hello Druid developers, what do you think about the future of Druid & > machine learning? > > Druid has been great at complex aggregations. Could (should?) It make > inroads into ML? Perhaps aggregators which apply the rows against some > pre-trained model and summarize results. > > Should model training stay completely external to Druid, or it could be > incorporated into Druid's data lifecycle on a conceptual level, such as a > recurring "indexing" task which stores the result (the model) in Druid's > deep storage, the model automatically loaded on historical nodes as needed > (just like segments) and certain aggregators pick up the latest model? > > Does this make any sense? In what cases Druid & ML will and will not work > well together, and ML should stay a Spark's prerogative? > > I would be very interested to hear any thoughts on the topic, vague ideas > and questions. > -- Dušan Marić mob.: +381 64 1124779 | e-mail: thema...@gmail.com | skype: themaric
