Building Data Analytics and Data Science solutions using Microsoft Fabric | Principal PM, Microsoft Fabric CAT
Principal Program Manager, Microsoft Fabric CAT helping users and organizations build scalable, insightful, secure solutions. Blogs, opinions are my own and do not represent my employer.
Markdown supported · ⌘↵ to post
Are there any additional benefits compared to the traditional method of executing multiple notebooks and managing dependencies through Data Factory or Airflow pipelines? Sandeep Pawar
Thank you so much for this excellent blog. It is really helpful. I wanted to know if there's any way we can store the result of this API (Duration, Status, etc.) Additionally, is there a way to trace start and end time of each notebook execution?
Thanks. MS official documentation is quite poor. i noticed it's missing supported parameters like displayDAGViaGraphviz, useRootDefaultLakehouse. These are parameters which i came across in your blog as well as a few others. I am wondering how you came across these parameters?
Romain DOMART
Thank you for your work. It has been the basis of our current imlplementation.
Do you know if there is a way to distinguish each individual child notebook CU Consumption ? In the Fabric Capacity Metric application, only the orchestrating notebook is shown.
Thank you for your help !