Top Tweets for #SemPy
Looking for your lakehouse in another workspace? Use a notebook! #MicrosoftFabric #notebook #lakehouse #notebookutils #sempy
Microsoft Fabric Notebook - Finding lakehouses in other Workspaces https://t.co/aPF5H1DX9Y via @YouTube
Nouvelle vidéo sur la chaîne Data Chouette : Microsoft Fabric Semantic Link Lab https://t.co/8ec2D66OQ7 via @YouTube #microsoftfabric #Sempy #Python #Governance #Monitoring #Vertipaq #Migration #BPA #BestPracticeAnalyzer #TabularObjectModel #DAX #openai #opensource #DirectLake
Need to do a bulk change of something in your #PowerBI report? The new Power BI report format enables some slick automations. @PatrickDBA uses #Sempy to get this done!
Watch on YouTube - https://t.co/42unY3wFju
@_Tillmann will go into detail about structures and capabilities of #SemanticLink, #SemPy and the new #FabricDataFrame at 11:15 am at #DataGrillen today. Don't miss it!
#MicrosoftFabric #PowerBi #Synapse
Standing room only for @PawarBI and Markus Cozowicz’s session on Semantic Link #fabcon #microsoftfabric #sempy
📢 De nouvelles vidéos sont disponibles sur la chaine YouTube DataChouette https://t.co/vxfAapSBm0 #MicrosoftFabric #SemanticLink #Sempy #PowerBI #DataChouette
my dear #MicrosoftFabric friends, #sempy will allow us to do amazing things, it's not only bridging the gap between the gold layer and the semantic model. This repo contains great examples how to "build" new models: https://t.co/0jyx1V0eDB 🙏
Next, sempy and #DataScience 😉
My favourite python library for #MicrosoftFabric is #Sempy which has been updated overnight to ver 0.6.0
https://t.co/C2jBrITorc
You can now list apps, calc_items, columns (enhanced), dataflows, datasources, gateways, perspectives, hierarchies, translations and more.
#PowerBI
My favourite python library for #MicrosoftFabric is #Sempy which has been updated overnight to ver 0.6.0
https://t.co/C2jBrITorc
You can now list apps, calc_items, columns (enhanced), dataflows, datasources, gateways, perspectives, hierarchies, translations and more.
#PowerBI
We wrap up the year with some great #msfabric updates including a gorgeous new dataframe preview in #notebooks, #Spark session personalization with %%configure and lots of great updates to #sempy 🥳Check out the full blog here:
https://t.co/6cMjwV7kDi
@pkamasani We keep being amazed learning how the community is using #SemPy! @JustynaLucznik @nelliegson - an alternative to PBI Relationship Viewer actually was one of your exit criteria, iirc, right? :-)
Maybe #SemPy was designed for something other than this, but how about getting the relationships of #SemanticModels and then converting the graph to PNG and Base64 to display in #PowerBI? Here's a sneak peek of the result.
#MicrosoftFabric takes data analytics to the next level.
my dear #MicrosoftFabric friends, one of the great Fabric capabilities (maybe the most amazing) is that I can use my compute on your data store (yes, this Shortcut thingy). What is your favorite capability/feature? Yes, you can mention #sempy 😎
Want notebooks to get data from a #PowerBI dataset? Maybe you're a data scientist wanting to augment your models, or maybe you just want to validate as a Power BI developer. Semantic Link (or #Sempy) can help! #MicrosoftFabric
Watch on YouTube - https://t.co/OO1ad072p4
@kurtbuhler @PawarBI @Datatouille Without having proof (for now), I consider using #sempy to write DAX-based calculated columns back to the #Lakehouse, is a major step (even it looks small) in improving #dataquality and at the same sharing the expertise with other teams (meaning tools)
Using #Sempy to query PBI Premium DMVs. Trying to write output delta via .to_lakehouse_table() but running into TypeErrors like "TypeError: field FormatString: Can not merge type <class 'pyspark.sql.types.StringType'> and <class 'pyspark.sql.types.DoubleType'>"
Any ideas?
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