Fabric Monthly Update - July 2023

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Welcome to the July 2023 update. We have features in Core, Synapse, Data Factory, Data Activator, Community, and Power BI.
Core: 1:26
Synapse: 3:51
Data Factory: 15:29
Data Activator: 20:56
Community: 25:15
Power BI: 27:39
Blog: blog.fabric.microsoft.com/en-...
Fabric community: aka.ms/fabriccommunity
Follow us on Twitter - / mspowerbi
More questions? Try asking the Power BI Community @ community.powerbi.com/
#Microsoft #PowerBI

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Опубликовано:

8 авг 2023

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Комментарии : 15

@prosselius 11 месяцев назад

Since a lot of products/features are combined in a fabric update it would be really great if chapter markers could be added to the RU-vid videos for easier navigation. Thanks! 😊

@BeholdNails 11 месяцев назад

Looks like they added that, probably after you posted.

@mjustesen 11 месяцев назад

I very much agree!

@novashx 11 месяцев назад

With fabric combining multiple services, the monthly update is a great way to catch up on all things Azure data - this simplifies my monthly scramble 🙂

@hamzatariq6255 10 месяцев назад

Power BI channel link: youtube.com/@BIStructure?si=SIaLCSoPkFdN8ZMf

@Bharath_PBI 11 месяцев назад

Did we permanently loose the power bi monthly updates?

@dc-sg8ot 11 месяцев назад

We had a July power BI update

@Bharath_PBI 11 месяцев назад

@@dc-sg8ot that's last month, this month it is part of fabric update, in this video

@tejusbala 10 месяцев назад

@@Bharath_PBI No, there's an August update that released today.

@Bharath_PBI 10 месяцев назад

@@tejusbala Yes, saw it yesterday 👍 , so will there be PBI update on fabric and also power bi monthly updates? If yes, then with regards to PBI, how they are different?

@gillojunkumar 11 месяцев назад

Hi Please allow FY (Financial Year ) function for country to country. It will be very much help full, instead of creating a calendar to find the FY

@ssurajkr1234 11 месяцев назад

When will copilot for PowerBI service be available for public?

@mshparber 11 месяцев назад

Please allow Dataflows Gen 2 to save results as json files to Lakehouse. It currently allows to save tables only. I know we can do it in Pipelines, but Dataflows are so much more better, more easy and more low-code than Pipelines