Hi, andy, I think you can make that with some open source packages/libs built for IPython and Spark.
here is one : https://github.com/litaotao/IPython-Dashboard On Thu, Mar 17, 2016 at 1:36 AM, Andy Davidson < a...@santacruzintegration.com> wrote: > We are considering deploying a notebook server for use by two kinds of > users > > > 1. interactive dashboard. > 1. I.e. Forms allow users to select data sets and visualizations > 2. Review real time graphs of data captured by our spark streams > 2. General notebooks for Data Scientists > > > My concern is interactive spark jobs can can consume a lot of cluster > resource and many users may be sloppy/lazy. I.E. Just kill their browsers > instead of shutting down their notebooks cleanly > > What are best practices? > > > Kind regards > > Andy > -- *--------------------------------------* a spark lover, a quant, a developer and a good man. http://github.com/litaotao
