10 frequently asked questions on spark | Spark FAQ | 10 things to know about Spark

This video talks about the most frequently asked question on spark. The terms that should be known by each developer and Architect who works on Spark

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[nikhilgupta]

I'm impressed, no copy paste, Covered whole architecture and done full justice to the title. Great work, you are heading in the right direction, keep going :).

[vaibhavjoshi]

Getting confidence in spark because of you only. Thanks so so much!

[harshmohan]

Mam you are awesome.. teaching talent with example is like god gifted

Mam, can u briefly tell me if we use yarn, then what would be the role of the cluster manager and its application master in spark.. because driver directly communicating to executor

[sachinragde]

Thank you ma'am u explain it very nicely due to u I understand it
And ur voice is very beautiful
Thank you so much

[sathwikemmadi]

Great content shreya, I really like all the videos and wanted to learn more about datalakes and best practices designing datalakes.If you have some time and bandwidth please keep a post on the above.
Thanks for all your hardwork.

[ramkumarananthapalli]

Thanks for making this video. Kindly make more videos on big data engineering.

[rajeshd]

quite formative for beginners and Appreciate the efforts made

[dhavaldalasaniya]

Very nice !! Simple & very knowledgeable 👍🏻

[geetakadam]

Hello Mam I had gone through your video the way you have delivered is very nice.
I have one dought though silly but I wants to know in local system that means on our laptop when we execute pyspark code who is executor and who is worker and on cloud please explain me executor and worker?
Thanks in advance

[khajaabdulmujeebbasha]

mam there is shuffle in coalese even it is considering as narrow transformation why?

[guptaashok]

Is it driver which reads all data and divide in partition and sends to executor?

[winfred]

Love it!! Become an online boss - Promo-SM !!

[mithunnambiar]

This is what you call WOMEN IN TECH.. absolutely fantastic!!! 💩

[ranvijaymehta]

Thanks mam ... Today I have subscribed BigData Thoughts