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Apache Zeppelin – Interactive analytics on Spark

zeppelin.incubator.apache.org

31–35 of 35 posts

Re: Apache Zeppelin – Interactive analytics on Spark

#31
post #2

Interesting. I wonder how this compares to an IPython notebook? While I haven't tried it, I imagine that you can use pyspark from an IPython notebook and have much of the same functionality as with Apache Zeppelin. Makes me wonder if it wouldn't have been better to just extend IPython notebooks instead of starting a new project. Edit: How to run PySpark from an IPython notebook[1] [1] http://ramhiser.com/2015/02/01/c…

I'm one of committers of Apache Zeppelin (incubating). Zeppelin is inspired by iPython notebook and many other amazing softwares that has notebook interface. I know iPython notebook has long history and large community, i really like it. Zeppelin is young, new project compare to iPython notebook. Zeppelin and iPython notebook, they are opensource. iPython notebook is lead by IPython Development Team. Zeppelin is unde…

Hi leemoonsoo,

  Great JOB !! This is exactly what I was looking for. How to add Python an R in this notebook ?
Thanks in advance for your answer

Re: Apache Zeppelin – Interactive analytics on Spark

#32
post #15
post #12

The size and growth of the Jupyter / IPython ecosystem is its biggest draw for me. For example, there are roughly 125,000 IPython notebooks on GitHub as of today from which I can learn. http://nbviewer.ipython.org/gist/parente/facb555dfbae28e817e...

Beaker is mostly compatible, and has an import feature, so you can open and run an IPython notebook as a Beaker Notebook.

Hi spot,

  Is it possible to run sparl/scala in Beaker ?
Regards

Re: Apache Zeppelin – Interactive analytics on Spark

#35
post #34

Hi all of you, I want to have a notebook where I can run - Spark/scala (like in zeppelin) - Python (Like in Ipython/Jupyter) - R How can I do this ?

I've yet to get around to trying it, but there is beakernotebook.com which claims to be basically iPython, but with support for multiple languages within the same notebook. It looks really neat.
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