88. Stringify transformation in Mapping Data Flow in Azure Data Factory

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In this video, I discussed about Stringify transformation in Mapping data flows in Azure data factory

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I have received three data engineer role offers by following only these videos. Thank you very much :)

INDRANIL
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Thank you so much for your involving me in the ADF journey. Videos are in easy understandable format with practical scenarios.
I finished ADF playlist and liked all videos for better reach.

"Tell me and I forget. Show me and I may remember. Involve me and I understand" - Benjamin Franklin

kartikeshsaurkar
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im just on the 10th video and im glad that this still updates until now. thank you so much and i wish for your success

peanut-d-cat
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Really appreciated your efforts. your datafactory videos are one of the best source material. Thanks for the informative video's 🙏

raghavsharma
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Nice video, easily understandable . Is is possible to apply tostring in stringfy expression builder?

AAryanAAshrith
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do we need derived column? can't we use the toString() function in stringify expression itself?

motwanimani
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I am not getting list of colns in derived column

thesujata_m
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Sir do you need coding for Data lake? If so which language and how much?

malathin
visit shbcf.ru