Brief notes for the meeting on June 22th:
- still studying the documents.
--- https://mapr.com/blog/monitoring-real-time-uber-
data-using-spark-machine-learning-streaming-and-kafka-api-part-2/
--- https://databricks.com/blog/2018/06/05/introducing-mlflow-
an-open-source-machine-learning-platform.html
--- https://eng.uber.com/michelangelo/
- stateful storage might need to be improved (data size) to support big
state object which could be required by ML jobs.
