Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreGet certified in Microsoft Fabric—for free! For a limited time, get a free DP-600 exam voucher to use by the end of 2024. Register now
Does anyone know if this (ref link below) is the best process and also is it in the Fabric ADF resource? I know Fabric ADF doesn't have all of the features native ADF has. Thanks
https://learn.microsoft.com/en-us/azure/data-factory/concepts-data-flow-schema-drift
Solved! Go to Solution.
Hi @lwalton ,
Schema Drift would be the best way to handle if we think data source keeps on changing and not constant.
There can be many situations possible, column added, column dropped, or column type changed.
Currently Schema Drift is possible through Azure Data Factory Mapping Dataflows, but they are not available in Fabric Data Factory.
Perhaps you want to try out Fabric Dataflows and see if it applies as it is?
In terms of what copy activity allows,
Incase if that doesn't help, appreciate if you could share the feedback on our feedback channel. Which would be open for the user community to upvote & comment on. This allows our product teams to effectively prioritize your request against our existing feature backlog and gives insight into the potential impact of implementing the suggested feature.
Hope this helps. Please let me know if you have any further queries.
Hi @lwalton ,
Schema Drift would be the best way to handle if we think data source keeps on changing and not constant.
There can be many situations possible, column added, column dropped, or column type changed.
Currently Schema Drift is possible through Azure Data Factory Mapping Dataflows, but they are not available in Fabric Data Factory.
Perhaps you want to try out Fabric Dataflows and see if it applies as it is?
In terms of what copy activity allows,
Incase if that doesn't help, appreciate if you could share the feedback on our feedback channel. Which would be open for the user community to upvote & comment on. This allows our product teams to effectively prioritize your request against our existing feature backlog and gives insight into the potential impact of implementing the suggested feature.
Hope this helps. Please let me know if you have any further queries.
Hi @lwalton ,
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 @lwalton ,
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 .
Starting December 3, join live sessions with database experts and the Fabric product team to learn just how easy it is to get started.
Check out the November 2024 Fabric update to learn about new features.
User | Count |
---|---|
5 | |
5 | |
2 | |
2 | |
1 |
User | Count |
---|---|
16 | |
11 | |
7 | |
6 | |
6 |