Design Question

[Anonymous]

What are the best practices for handling large file transfers in Azure Data Factory, and how can I optimize performance for big data workflows?

[frithjof_v · Accepted solution]

If you are referring to Fabric Data Factory:

Try using Data Pipeline Copy Activity, or Dataflow Gen2 Fast Copy.

(If you are referring to Azure Data Factory: that's another forum.)

You could potentially look into Notebooks as well.

What kind of data source are you going to read from?

[Anonymous · Accepted solution]

Hi @Anonymous ,

If it's in Fabric Data Factory, you can test as frithjof_v said.

For your second question, to optimize performance for big data workflows in Azure Data Factory.

I think you can check out this official document below:

Mapping data flow performance and tuning guide - Azure Data Factory & Azure Synapse | Microsoft Lear...

Best Regards

Yilong Zhou

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[frithjof_v · Accepted solution]

If you are referring to Fabric Data Factory:

Try using Data Pipeline Copy Activity, or Dataflow Gen2 Fast Copy.

(If you are referring to Azure Data Factory: that's another forum.)

You could potentially look into Notebooks as well.

What kind of data source are you going to read from?