Forum Discussion
R/W endpoints
Hi all, Since introducing of R/W endpoints i was super excited and i hardly waited to use some of the tools out there to be able to handle my datasets while they are online. Some of my datasets on...
GilbertQ
Super User
Super UserHi there
What I do is I always have a local copy of the dataset where I model and make my changes.
Only once that is done do I then deploy the changes to the PBI dataset.
This is how I would suggest developing and is considered best practice because you always work offline with a local copy. And ensures that you do not deploy a change that could break the entire model.
What I do is I always have a local copy of the dataset where I model and make my changes.
Only once that is done do I then deploy the changes to the PBI dataset.
This is how I would suggest developing and is considered best practice because you always work offline with a local copy. And ensures that you do not deploy a change that could break the entire model.
Thanks GilbertQ
I did it like that until they intruduced R/W endpoints for dedicated capacity. By looking on their presentatison what could be done on model while dataset is on service i tought "hey this is really going to help me with those huge datasets".
But at the end it is just not working 😕, so i will try go old way with dowloading datasets and working with local copy. It will make me less productive with large datasets, but at the moment this is probably only way to be on the safe side.
- GilbertQHi there
You can certainly do that the challenge is that the dataset only then gets changed in the service.
There is a way to script out the dataset and create it locally.