Hi Guru, Thanks! Great to hear that someone tried it in production. How do you like it so far?
Best Regards, Jerry On Tue, Aug 18, 2015 at 11:38 AM, Guru Medasani <gdm...@gmail.com> wrote: > Hi Jerry, > > Yes. I’ve seen customers using this in production for data science work. > I’m currently using this for one of my projects on a cluster as well. > > Also, here is a blog that describes how to configure this. > > > http://blog.cloudera.com/blog/2014/08/how-to-use-ipython-notebook-with-apache-spark/ > > > Guru Medasani > gdm...@gmail.com > > > > On Aug 18, 2015, at 8:35 AM, Jerry Lam <chiling...@gmail.com> wrote: > > Hi spark users and developers, > > Did anyone have IPython Notebook (Jupyter) deployed in production that > uses Spark as the computational engine? > > I know Databricks Cloud provides similar features with deeper integration > with Spark. However, Databricks Cloud has to be hosted by Databricks so we > cannot do this. > > Other solutions (e.g. Zeppelin) seem to reinvent the wheel that IPython > has already offered years ago. It would be great if someone can educate me > the reason behind this. > > Best Regards, > > Jerry > > >