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/ <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
