The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredAsk the Fabric Databases & App Development teams anything! Live on Reddit on August 26th. Learn more.
Hi,
I'm looking for tools or best practices to setup a master data management solution which will works with Fabric (and power bi etc)
I have to manage files and data received from different sources (databases, xml, json, excel files etc...) and I want to quickly clean them with an MDM solution.
and also, for the sources which will be updated on a regular basis, I want to integrate this cleaning process in my pipelines, python , dataflow (v2) or SQL stored procedures processes.
if this can also be integrated or used in dataverse it's a bonus
did you have some recommandations?
thanks.
Hi,
I want to pick up this topic again
the suggested tools are thirdparty tools
are there any basic functionality in fabric that can be used?
My needs are basic and I need an easy and cost effective solution
I could master it in excel and load it to fabric but I would prefer something more stable (structure, validation etc.)
a sharepoint list or similar would possibly work
Hi @Jerome22 ,
Thanks for using Fabric Community.
Attaching few documents that might help your use case.
Microsoft Fabric (profisee.com)
Master Data Management (MDM) on Microsoft Fabric Accelerator (hso.com)
I hope this would be helpful.
thanks
I'll take a look at these tools.
Hi @Jerome22 ,
Thanks for your response. I hope we were able to provide some insights on your query.
Hi @Jerome22 ,
We haven’t heard from you on the last response and was just checking back to see if your query was answered.
Otherwise, will respond back with the more details and we will try to help .
Hi @Jerome22 ,
We haven’t heard from you on the last response and was just checking back to see if your query was answered.
Otherwise, will respond back with the more details and we will try to help .
User | Count |
---|---|
4 | |
2 | |
2 | |
2 | |
2 |
User | Count |
---|---|
10 | |
8 | |
7 | |
6 | |
6 |