How to use Dataflows in Power BI // Beginners Guide to Power BI in 2021

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  • Опубликовано: 30 май 2021
  • In this video we cover how using dataflows can help you improve the way you manage your data source connections in Power BI
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Комментарии • 39

  • @DavidQuezada7
    @DavidQuezada7 8 дней назад

    Great video, thanks!

  • @bittencourt1869
    @bittencourt1869 Месяц назад

    Excellent explanation to connect the database through dataflow

  • @CaponeSlays
    @CaponeSlays 2 года назад +1

    So helpful and just what I needed! Thank you

  • @sapnaa6576
    @sapnaa6576 2 года назад

    Best video on Dataflow that I have seen so far

  • @evangeliastone7374
    @evangeliastone7374 2 года назад

    Very helpful! Thank you.

  • @joseluisbeltramone599
    @joseluisbeltramone599 Год назад +1

    Thank you very much for the excellent video!

  • @tajamulkhanofficial
    @tajamulkhanofficial 7 месяцев назад

    Thanks for Help!

  • @emach4392
    @emach4392 Год назад +1

    Its good to see the ABC between the A and C. Some just does not put in context.
    There are lot of Power Bi videos that does not capture this.

  • @user-iz6ju9ft6e
    @user-iz6ju9ft6e 5 месяцев назад

    Thank you. very helpful

  • @kamikachauhan8609
    @kamikachauhan8609 5 дней назад

    very nice

  • @EmediongJob-ih6xb
    @EmediongJob-ih6xb Год назад

    Your videos are fantastic bro

  • @veeek8
    @veeek8 Год назад

    Awesome thank you

  • @JavitoTag
    @JavitoTag 2 года назад +1

    This is great, thanks for sharing!

  • @meridtekle6928
    @meridtekle6928 2 года назад +1

    Thanks Fernan You do a great job breaking down complex issues to very understandable concepts. You have helped me a lot

    • @SolutionsAbroad
      @SolutionsAbroad  2 года назад +1

      Appreciate that Merid, thanks for watching!

    • @AK-ij9il
      @AK-ij9il 7 месяцев назад

      ​@@SolutionsAbroadit's possible to create power BI report from data flow directly in power BI service not in Desktop?

  • @ed2672
    @ed2672 Год назад

    thanks a lot!

  • @gauthama4092
    @gauthama4092 2 года назад +1

    Thank you so much fernan, very helpful

  • @satyasuresh9473
    @satyasuresh9473 2 года назад

    Hello Fernan Thanks for the wonderful content.
    Can we see the data inside the dataflow..I had created one from a Google Big query and using it in the Power BI dashboard and have some missing data.. so not sure if it is something missing at data flow and I am unable to see underneath

  • @lourdesguiulfo6153
    @lourdesguiulfo6153 5 дней назад

    Thank you!! is it possible to create an automate report based on the DataFlow just created in power bi services?

  • @fardeenahmedkhan517
    @fardeenahmedkhan517 Месяц назад

    As You Gave Your Credentials on the Azure Database Option I have a Question here
    That in Advance option we had the option named Import and Direct Query and by default it will take Import only like in you example. If i choose Direct Query, will it work the same way ?

  • @RetaxChennai
    @RetaxChennai 3 года назад +2

    Very useful. Pls, share more videos on online Data services like Azure Data Factory and Power Bi online. :)

    • @SolutionsAbroad
      @SolutionsAbroad  3 года назад

      Hi Karthik, lots more Power BI Service videos are coming up soon, dont worry! thanks for watching!

  • @remek5758
    @remek5758 2 года назад

    I'm pretty sure you can do all transformations on desktop, publish it and then use the published dataset as a source to create a report so separate model & report, I'm not sure tho if this would create another dataset when connecting to the exsisting one and only creating report?

  • @evangeliastone7374
    @evangeliastone7374 2 года назад

    Hi Fernan! 1. What if we’re working with big data and tables with millions of rows? Wouldn’t the refresh time out or not and if so, what is a solution? 2. Can we query for a certain time period or year, etc to minimize the initial data refresh?

  • @arunsundarm4566
    @arunsundarm4566 4 месяца назад

    Super

  • @monmorelord6368
    @monmorelord6368 Год назад +1

    Can you do soemthing on refresh where the data is in a flat file and needs to be modeled into a realtional database and then updated both core data and lookup tables all needing updating

  • @hrishitathe1947
    @hrishitathe1947 3 месяца назад

    I have created the dataflow by connecting with it Azure Databricks. However I can see the data in dataflows but Can't see anything when I load the data in Power Bi. What can be the reason. The same issue you are showing in the video when you load the data first time. Showing empty rows.

  • @mirrrvelll5164
    @mirrrvelll5164 Год назад

    in your personal opinion and experience, is it good practice to DFs as a sources? In my company all the sources are from DFs....

  • @syamalabrahmareddy6418
    @syamalabrahmareddy6418 2 года назад

    Hi Fernan, Is any Option to download the pbix file what you are showing in the videos?

    • @SolutionsAbroad
      @SolutionsAbroad  2 года назад

      Hi Syamala, thanks for watching! Yes of course, they're all available through my Patreon page here: www.patreon.com/posts/demo-files-52538104

  • @tiago5a
    @tiago5a 9 месяцев назад

    Is it possible to use Python in the dataflow to transform data? Thanks

  • @eagillum
    @eagillum 2 года назад

    3:15- connecting to Azure SQL database dataflow

  • @rajarshisingh2547
    @rajarshisingh2547 2 года назад +1

    Can the dataflow connect via live connection? So that I don't have to refresh the dataflow and just refresh the dataset

    • @SolutionsAbroad
      @SolutionsAbroad  2 года назад +1

      I believe so! However it requires a Premium license; docs.microsoft.com/en-us/power-bi/transform-model/dataflows/dataflows-directquery

  • @DanielWeikert
    @DanielWeikert 3 года назад +1

    maybe you like to dive into the compute entities /linked entities and the limitations for non premium users.
    Br

    • @SolutionsAbroad
      @SolutionsAbroad  3 года назад

      Interesting suggestion, I'll have a look at covering this in the future, thanks!