Apologies I missed the list.

To move forward I selected these topics from the thread "Online classes for
spark topics".

To take this further I propose a confluence page to be seup.


   1. Spark UI
   2. Dynamic allocation
   3. Tuning of jobs
   4. Collecting spark metrics for monitoring and alerting
   5.  For those who prefer to use Pandas API on Spark since the release of
   Spark 3.2, What are some important notes for those users? For example, what
   are the additional factors affecting the Spark performance using Pandas API
   on Spark? How to tune them in addition to the conventional Spark tuning
   methods applied to Spark SQL users.
   6. Spark internals and/or comparing spark 3 and 2
   7. Spark Streaming & Spark Structured Streaming
   8. Spark on notebooks
   9. Spark on serverless (for example Spark on Google Cloud)
   10. Spark on k8s

Opinions and how to is welcome


   view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>


 https://en.everybodywiki.com/Mich_Talebzadeh



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On Mon, 13 Mar 2023 at 16:16, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:

> Hi guys
>
> To move forward I selected these topics from the thread "Online classes
> for spark topics".
>
> To take this further I propose a confluence page to be seup.
>
> Opinions and how to is welcome
>
> Cheers
>
>
>
>    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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