Jupyter notebook is replaced with jupyterlab :)

man. 5. sep. 2022 kl. 21:10 skrev Holden Karau <hol...@pigscanfly.ca>:

>
>
> On Mon, Sep 5, 2022 at 9:00 AM Mich Talebzadeh <mich.talebza...@gmail.com>
> wrote:
>
>> Thanks for that.
>>
>> How do you rate the performance of Jupyter W/Spark on K8s compared to the
>> same on  a cluster of VMs (example Dataproc).
>>
>> Also somehow a related question (may be naive as well). For example,
>> Google offers a lot of standard ML libraries for example built into a data
>> warehouse like BigQuery. What does the Jupyter notebook offer that others
>> don't?
>>
> Jupyter notebook doesn’t offer any particular set of libraries, although
> you can add your own to the container etc.
>
>>
>>
>>
>>    view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>  https://en.everybodywiki.com/Mich_Talebzadeh
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
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>>
>>
>>
>> On Mon, 5 Sept 2022 at 12:47, Holden Karau <hol...@pigscanfly.ca> wrote:
>>
>>> I’ve run Jupyter w/Spark on K8s, haven’t tried it with Dataproc
>>> personally.
>>>
>>> The Spark K8s pod scheduler is now more pluggable for Yunikorn and
>>> Volcano can be used with less effort.
>>>
>>> On Mon, Sep 5, 2022 at 7:44 AM Mich Talebzadeh <
>>> mich.talebza...@gmail.com> wrote:
>>>
>>>>
>>>> Hi,
>>>>
>>>>
>>>> Has anyone got experience of running Jupyter on dataproc versus Jupyter
>>>> notebook on GKE (k8).
>>>>
>>>>
>>>> I have not looked at this for a while but my understanding is that
>>>> Spark on GKE/k8 is not yet performed. This is classic Spark with
>>>> Python/Pyspark.
>>>>
>>>>
>>>> Also I would like to know the state of spark with Volcano. Has progress
>>>> made on that front.
>>>>
>>>>
>>>> Regards,
>>>>
>>>>
>>>> Mich
>>>>
>>>>
>>>>    view my Linkedin profile
>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>
>>>>
>>>>  https://en.everybodywiki.com/Mich_Talebzadeh
>>>>
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>> --
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>>>
>> --
> Twitter: https://twitter.com/holdenkarau
> Books (Learning Spark, High Performance Spark, etc.):
> https://amzn.to/2MaRAG9  <https://amzn.to/2MaRAG9>
> YouTube Live Streams: https://www.youtube.com/user/holdenkarau
>


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