🚀
Feb '24 • General
Data Quality discussion
Hi all! I would love to get your views and experiences with data quality and data validation in data analytics/ viz/ engineering.
It would be great to hear your experiences on any of the following:
- Is this an area you've worked in before?
- If so, what were you doing and
- how did you approach it?
- Any particular tools or frameworks you used?
- What were the outcomes for you and your company/ client?
The reason I'm asking is that for me it's probably the most important part of any data strategy, and one that is often neglected.
Fabric makes it simpler to implement data quality/ validation rules in nearly every part of the data analytics workflow/ system.
If there's any interest, I'll look to create a series of videos on how to think about data quality and validation within Fabric, and how to actually implement measures that grow trust in your analytics systems, visualizations and insights.
6
13 comments
Data Quality discussion
skool.com/microsoft-fabric
Helping passionate analysts, data engineers, data scientists (& more) to advance their careers on the Microsoft Fabric platform.
Leaderboard (30-day)
1
+33
2
+24
3
+19
4
+15
5
+12
Powered by