Forum Discussion
PieterVeenstra
5 months agoNew Member
Custom connectors in Fabric Dataflows
I've got the following setup: Lakehouse that is filled by data from a custom api. The custom api asks for a username and password and then returns the access token. The access token expires whe...
- 4 months ago
I have found a slighlty easier solution. I am importing data into about 10 table from a dodgy API. Some of the tables need frequent updates, other can do with updates on a daily basis. I split my dataflows into 10 dataflows each handling one table. Then through scheduling them cleverly (the daily ones go through the night and the important ones during the day on a more frequent schedule) I managed to get all the data processed.
lbendlin
5 months agoSuper User
Apparently through an on-premises data gateway is an options but that feels like not a great option either.
That is your ONLY option.