Guys,

How Active Directory/LDAP and Kerberos are integrated with Zeppelin?

thanks

Dr Mich Talebzadeh



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On 30 November 2016 at 11:26, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:

>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
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>
>
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> 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
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>
>
>
> Forwarded conversation
> Subject: Zeppelin or Jupiter
> ------------------------
>
> From: Mich Talebzadeh <mich.talebza...@gmail.com>
> Date: 28 November 2016 at 13:06
> To: users@zeppelin.apache.org
>
>
> H,
>
> I use Zeppelin in different form and shape and it is very promising. Some
> colleagues are mentioning that Jupiter can do all that Zeppelin handles.
>
> I have not used Jupiter myself. I have used Tableau but that is pretty
> limited to SQL.
>
> Anyone has used Jupiter and can share their experience of it vis-à-vis
> Zeppelin?
>
> Thanks
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *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.
>
>
>
> ----------
> From: Goodman, Alexander (398K) <alexander.good...@jpl.nasa.gov>
> Date: 28 November 2016 at 20:23
> To: "users@zeppelin.apache.org" <users@zeppelin.apache.org>
>
>
> Hi Mich,
>
> You might want to take a look at this:
> https://www.linkedin.com/pulse/comprehensive-comparison-jupy
> ter-vs-zeppelin-hoc-q-phan-mba-
>
> I use both Zeppelin and Jupyter myself, and I would say by and large the
> conclusions of that article are still mostly correct. Jupyter is definitely
> superior in terms of stability, language (kernel) support, ease of
> installation and maintenance (thanks to conda) and performance. If you just
> want something that works well straight out of the box, then Jupyter should
> be your goto notebook solution. I would say this is especially true if your
> workflow is largely in python since many of the Jupyter developers also
> have close ties with the general python data analytics / scientific
> computing community, which results in better integration with some
> important packages (like matplotlib and bokeh, for example). This makes
> sense given that the project was originally a part of ipython after all.
>
> However I definitely think Zeppelin still has an important place. The vast
> majority of Zeppelin users also use spark (also an apache project), and for
> that use case it should always be better than Jupyter given that its
> backend code is written in Java (a JVM language). There are also several
> advanced features that Zeppelin has that are somewhat unique, including a
> simple API for sharing variables across interpreters (
> https://zeppelin.apache.org/docs/0.7.0-SNAPSHOT/interpreter
> /spark.html#object-exchange). There's also the angular display system API
> (https://zeppelin.apache.org/docs/0.7.0-SNAPSHOT/displaysyst
> em/back-end-angular.html). Granted, these two features are currently only
> fully supported by the spark interpreter group but work is currently
> underway to make the API extensible to other interpreters. Lastly, I think
> the most powerful feature of Zeppelin is the overall concept of the
> interpreter (in contrast to Jupyter's kernels) and the ability to use them
> together in a single notebook. This is my main reason for using Zeppelin
> since I regularly work with both spark/scala and python together.
>
> So tl;dr, if you are using spark and/or have workflows which use multiple
> languages (namely scala/R/python/SQL), you should stick with Zeppelin.
> Otherwise, I would suggest Jupyter.
> --
> Alex Goodman
> Data Scientist I
> Science Data Modeling and Computing (398K)
> Jet Propulsion Laboratory
> California Institute of Technology
> Tel: +1-818-354-6012
>
> ----------
> From: DuyHai Doan <doanduy...@gmail.com>
> Date: 28 November 2016 at 20:32
> To: users@zeppelin.apache.org
>
>
> "Granted, these two features are currently only fully supported by the
> spark interpreter group but work is currently underway to make the API
> extensible to other interpreters"
> --> Incorrect, the display system has also an API for front-end:
> https://zeppelin.apache.org/docs/0.7.0-SNAPSHOT/displaysystem/front-end-
> angular.html
>
> ----------
> From: Mich Talebzadeh <mich.talebza...@gmail.com>
> Date: 28 November 2016 at 20:59
> To: users@zeppelin.apache.org
>
>
> Thank you guys for valuable inputs.
>
> I have never used Jupyter myself but have used Zeppelin. Obviously it
> sounds like if the Big Data deployed has Spark centric view of things (with
> Spark being the penicillin of Big Data World :) together with Scala and
> SQL, then Zeppelin is a goof fit. I have also noticed recently that
> Hortonworks are actively promoting Zeppelin. However, I do appreciate that
> there are fans of Python around.
>
> May be a strategy would to offer both. Having said that there are hard
> core users that would never give up on Tableau!
>
> Regards
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *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.
>
>
>
>
> ----------
> From: Mich Talebzadeh <mich.talebza...@gmail.com>
> Date: 29 November 2016 at 14:24
> To: mich.talebza...@credit-suisse.com
>
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *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.
>
>
>
> Forwarded conversation
> Subject: Zeppelin or Jupiter
> ------------------------
>
> From: Mich Talebzadeh <mich.talebza...@gmail.com>
> Date: 28 November 2016 at 13:06
> To: users@zeppelin.apache.org
>
>
> H,
>
> I use Zeppelin in different form and shape and it is very promising. Some
> colleagues are mentioning that Jupiter can do all that Zeppelin handles.
>
> I have not used Jupiter myself. I have used Tableau but that is pretty
> limited to SQL.
>
> Anyone has used Jupiter and can share their experience of it vis-à-vis
> Zeppelin?
>
> Thanks
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *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.
>
>
>
> ----------
> From: Goodman, Alexander (398K) <alexander.good...@jpl.nasa.gov>
> Date: 28 November 2016 at 20:23
> To: "users@zeppelin.apache.org" <users@zeppelin.apache.org>
>
>
> Hi Mich,
>
> You might want to take a look at this:
> https://www.linkedin.com/pulse/comprehensive-comparison-jupy
> ter-vs-zeppelin-hoc-q-phan-mba-
>
> I use both Zeppelin and Jupyter myself, and I would say by and large the
> conclusions of that article are still mostly correct. Jupyter is definitely
> superior in terms of stability, language (kernel) support, ease of
> installation and maintenance (thanks to conda) and performance. If you just
> want something that works well straight out of the box, then Jupyter should
> be your goto notebook solution. I would say this is especially true if your
> workflow is largely in python since many of the Jupyter developers also
> have close ties with the general python data analytics / scientific
> computing community, which results in better integration with some
> important packages (like matplotlib and bokeh, for example). This makes
> sense given that the project was originally a part of ipython after all.
>
> However I definitely think Zeppelin still has an important place. The vast
> majority of Zeppelin users also use spark (also an apache project), and for
> that use case it should always be better than Jupyter given that its
> backend code is written in Java (a JVM language). There are also several
> advanced features that Zeppelin has that are somewhat unique, including a
> simple API for sharing variables across interpreters (
> https://zeppelin.apache.org/docs/0.7.0-SNAPSHOT/interpreter
> /spark.html#object-exchange). There's also the angular display system API
> (https://zeppelin.apache.org/docs/0.7.0-SNAPSHOT/displaysyst
> em/back-end-angular.html). Granted, these two features are currently only
> fully supported by the spark interpreter group but work is currently
> underway to make the API extensible to other interpreters. Lastly, I think
> the most powerful feature of Zeppelin is the overall concept of the
> interpreter (in contrast to Jupyter's kernels) and the ability to use them
> together in a single notebook. This is my main reason for using Zeppelin
> since I regularly work with both spark/scala and python together.
>
> So tl;dr, if you are using spark and/or have workflows which use multiple
> languages (namely scala/R/python/SQL), you should stick with Zeppelin.
> Otherwise, I would suggest Jupyter.
> --
> Alex Goodman
> Data Scientist I
> Science Data Modeling and Computing (398K)
> Jet Propulsion Laboratory
> California Institute of Technology
> Tel: +1-818-354-6012
>
> ----------
> From: DuyHai Doan <doanduy...@gmail.com>
> Date: 28 November 2016 at 20:32
> To: users@zeppelin.apache.org
>
>
> "Granted, these two features are currently only fully supported by the
> spark interpreter group but work is currently underway to make the API
> extensible to other interpreters"
> --> Incorrect, the display system has also an API for front-end:
> https://zeppelin.apache.org/docs/0.7.0-SNAPSHOT/d
> isplaysystem/front-end-angular.html
>
> ----------
> From: Mich Talebzadeh <mich.talebza...@gmail.com>
> Date: 28 November 2016 at 20:59
> To: users@zeppelin.apache.org
>
>
> Thank you guys for valuable inputs.
>
> I have never used Jupyter myself but have used Zeppelin. Obviously it
> sounds like if the Big Data deployed has Spark centric view of things (with
> Spark being the penicillin of Big Data World :) together with Scala and
> SQL, then Zeppelin is a goof fit. I have also noticed recently that
> Hortonworks are actively promoting Zeppelin. However, I do appreciate that
> there are fans of Python around.
>
> May be a strategy would to offer both. Having said that there are hard
> core users that would never give up on Tableau!
>
> Regards
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *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.
>
>
>
>
>
>
> ----------
> From: Kevin Niemann <kevin.niem...@gmail.com>
> Date: 29 November 2016 at 17:52
> To: users@zeppelin.apache.org
>
>
> I can comment the reasons I use Zeppelin, though I haven't used Jupyter
> extensively. This is for a Fortune 500 company shared by many users.
> -Easy to write new Interpreter for organization specific requirements
> (e.g. authentication, query limits etc).
> -Already using Java and AngularJS extensively so it was a great fit.
> -LDAP and Notebook level permissions worked great.
> -Default D3.js visualization system works pretty well (could use some
> improvement)
> -Easy to create and share business user friendly reports.
> -Wide variety of Interpreters (JDBC, Spark, R, Mongo, custom etc).
> -So far has been stable.
>
> ----------
> From: Mohit Jaggi <mohitja...@gmail.com>
> Date: 29 November 2016 at 18:44
> To: users@zeppelin.apache.org
>
>
> -LDAP and Notebook level permissions worked great.
>
>
> Would you mind sharing details on this?
>
> Mohit Jaggi
> Founder,
> Data Orchard LLC
> www.dataorchardllc.com
>
>
>
>
>
>

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