That s a awesome explanation. Thanks. My question is, in this scenario we always hardcode status as 'success'. But what if the activity in the pipeline fails?
The scenario which you should is working for that particular pipeline. It is not logging the values if we run other pipelines from ADF. could you please let me know why it is so??
Thanks for creating these wonderful realtime usage of ADF, highly appreciated for the clear presentation and waiting for more relevant videos.
Thank you 🙂
Nice video, explaining with simple step by step....
Great job bruh.... 👍👍👍👍
Thank you 😊
number one class bro
Thank you 😊
That s a awesome explanation. Thanks. My question is, in this scenario we always hardcode status as 'success'. But what if the activity in the pipeline fails?
Can you please add source table table name ,data read,data right,data insert,update,delete,io kind of information in audit log..It would be great..
maza aa gya
The scenario which you should is working for that particular pipeline. It is not logging the values if we run other pipelines from ADF. could you please let me know why it is so??
Why the status parameter is always Success you are putting @wafa
Can you please help me with the below question
What is the difference between Dataflow expression and Pipeline expression in Azure Data Factory ?
Can we change the location we put after creating a data factory?
@WafaStudies How can we add status of pipeline run dynamically to the audit file?
What if the Pipeline fails?
Hai bro my scenario is all retailers data uploaded to app service from there data should be uploaded to blob is it possible
Where you able to implement this scenario? If so then can you please let me know even I have to implement same scenario...your response will help