Forum Discussion
Deployment Pipeline help
- 2 years ago
Hi PPStar
Thanks for the clarification, makes sense. In that case, I suggest the following approaches:1) Use Dataset Endorsement -> In Power BI Service, datasets can be endorsed as "Promoted" or "Certified." Use these flags for production-ready data, and ensure that this dataset is not endorsed, so users know it's not an official or approved dataset.
2) Define and communicate a Dataset Expiry date -> If the dataset is temporary, consider setting an expiration date for it. State that after this date, the dataset can/will be automatically removed or flagged for review.
Pedro Reis - Data Platform MVP / MCT
Making Power BI and Fabric Simple
If my response resolved your issue, please mark it as a solution to help others find it. If you found it helpful, please consider giving it a kudos. Your feedback is highly appreciated!
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Thank you so much for your response.
Whilst i agree with all of the above, this will work for the actual report.
However, once they have access to the dataset, nothing stops the users from connecting to the dataset using a Live Connection and then build their own reports.
How can we ensure the dataset in EXP is clearly states that data is not production ready.
Hi PPStar
Thanks for the clarification, makes sense. In that case, I suggest the following approaches:
1) Use Dataset Endorsement -> In Power BI Service, datasets can be endorsed as "Promoted" or "Certified." Use these flags for production-ready data, and ensure that this dataset is not endorsed, so users know it's not an official or approved dataset.
2) Define and communicate a Dataset Expiry date -> If the dataset is temporary, consider setting an expiration date for it. State that after this date, the dataset can/will be automatically removed or flagged for review.
Pedro Reis - Data Platform MVP / MCT
Making Power BI and Fabric Simple
If my response resolved your issue, please mark it as a solution to help others find it. If you found it helpful, please consider giving it a kudos. Your feedback is highly appreciated!
Find me at LinkedIn