Azure Data Factory naming convention

Are there any standard naming convention for Azure Data Factory object?

• Pipelines
• Data sets
• Data flow

We were planning to prefix them with PL_, DS_ and DF_. Are there any advantage of it?

AFAIK there is not any standard naming conventions but adding prefix is better to understand and differentiate between pipeline, dataflow, dataset, linked service.

There are certain rules for naming in Datafactory:

• Object names must start with a letter.
• The following characters are not allowed: “.”, “+”, “?”, “/”, “<”, ”>”,”*”,”%”,”&”,”:”,”\”
• Dashes ("-") are not allowed in the names of linked services, data flows, and datasets.

Using a naming convention can provide significant benefits, especially when dealing with large-scale projects or collaborating in teams. By using prefixes, it becomes instantly clear what type of object you're working with.