Tom_Ireland
1 year agoNew Member
Status:
Need Clarification
Mashup Of Visual Query & Power Query to leverage MPP
Data Flow Gen3 Runs Fabrics SQL Engine to leverage Distributed Data Processing and falls back to M-Code when dealing with semi-structured data.
*Dataflows with certain m-code-specific operations that cannot be done in visual query, e.g., capitalising each word, will need Gen2
@LearnMicrosoftFabric
1 Comment
- miguelCommunity AdminStatus changed:NewtoNeed Clarification
Recent ideas
Deployment pipeline: Deployment rules for Direct Lake on OneLake semantic models
Currently, it is not possible to use deployment rules with Direct Lake on OneLake semantic models. The option is greyed out. Please enable this, so we can automatically change the data so...frithjof_v14 minutes agoCommunity ChampionNew6KViews137likes17CommentsNative Master Data Management Solution
Microsoft Fabric currently lacks a native Master Data Management (MDM) capability, creating a gap for organizations that need to manage and govern business-critical reference data such as customers, ...bradcoles47 minutes agoRegular VisitorNew212Views1like3CommentsCopy results as markdown from data grid
When copying results from a query on the SQL Endpoint or Data Warehouse I often have to convert from the tab delimited table to markdown for sharing the results via services like teams or github. It...Tom_Fosterbi1 hour agoRegular VisitorNew2Views0likes0CommentsDeployment Pipelines - Remember selected stage
Every time we go into a deployment pipeline, it defaults to selecting the Development stage. I believe that it would be very rare to have a user select the Development stage. It would be helpful if d...PeterDaniels9 hours agoAdvocate IINew1View1like0Comments