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From Jerry Lam <chiling...@gmail.com>
Subject Re: Spark + Jupyter (IPython Notebook)
Date Wed, 19 Aug 2015 00:15:01 GMT
Hi Prabeesh,

That's even better!

Thanks for sharing

Jerry


On Tue, Aug 18, 2015 at 1:31 PM, Prabeesh K. <prabsmails@gmail.com> wrote:

> Refer this post
> http://blog.prabeeshk.com/blog/2015/06/19/pyspark-notebook-with-docker/
>
> Spark + Jupyter + Docker
>
> On 18 August 2015 at 21:29, Jerry Lam <chilinglam@gmail.com> wrote:
>
>> 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 <gdmeda@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
>>> gdmeda@gmail.com
>>>
>>>
>>>
>>> On Aug 18, 2015, at 8:35 AM, Jerry Lam <chilinglam@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
>>>
>>>
>>>
>>
>

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