Copy or Clone a Data Factory in Azure Data Factory-How to Take Backup and Restore Azure Data Factory

Copy or Clone a Data Factory in Azure Data Factory-How to Take Backup and Restore Azure Data Factory. In this video, we are going to learn how you can make a copy of Azure Data Factory and restore it with a Different Name. Cloning or copying data factory to a different regions or the same region is easy. If you are in Live mode of Data Factory, you can export the ARM Template and then Import it to the newly created Azure Data Factory.
Azure Data Factory Tutorial 2021
Latest Azure Data Factory Tutorial

Timecodes
00:00 Introduction
01:55 How to take backup of Data factory
05:00 How to create a new Azure Data Factory
06:00 How to Restore data factory in Azure Data factory

More details can be found on this link

[singhanuj]

Most anticipated series . Look forward to learn ADF just like SSIS .

[ranurobin]

So excited to learn ADF just like SSIS. Thank you for this.

[daustonian]

Thanks for posting this! If I don't make the connections, can I still see the pipelines themselves and the routines put in place within them? I may not want to backup and restore the entire platform, but instead just the pipeline routines as the data is someone else's responsibility. Thanks

[testaws]

Well explanation... But how to take the backup of ADF by auto scheduled ?

[clouddataodyssey]

Thanks for the video. I just wanted to know why do we have 2 keys and connection strings for storage account? Any specific reason?

[horrorstory_]

You just have one pipeline but we have n no of pipeline then what will be the most feasible way to do that ?

[dineshchowdary]

Do i need to enter exact value for the passwords in linked services or can i enter any value and configure later

[jamshedsalik]

HI, Please make a video on scenarios that have additional columns coming from the source .
Example:

Employee1.xlsx(column)
ID, Name, Age

Employee2.xlsx(column)
ID, Name, Age, PhoneNumber

Employee3.xlsx(column)
ID, Name, Age, PhoneNumber, DateofBirth

And destination table in azure sql have only these column
Destination table: Employee
ID, Name, Age

How can we handle incremental columns in the Azure data factory?

[Yom_Ash]

Can we use this to move from dev environment to UAT?