I like this style of demo breakdown where we're not treated like morons :) We can all read the microsoft learn website. Here we dig into each section. From this along I feel I am able to get work done. Thank you
Great video. It clearly shows the different layers of data lakehouse implementation. Can you also have a video on deployment pipelines with Fabric components to deploy from dev environment to Stg/Production environments?
I agree. Several questions here revolve around devops concepts in addition to ad-hoc ingestion and analysis. I think a video around source control, code deployment and environment setup would be very nice to see. Great video!
Great video Ryan, I want to ask that, if a new column need to be added at Power BI dataset level, in above example, is it possible? If yes, then still the model will be in Direct Lake mode? If No, what is the ideal place to add the extra column.
could you show a deep dive into ML Model tracking with ML flow and the model deployment? The videos released so far do not cover that in detail. Thanks
Hi, nice video. One question here: In ruclips.net/video/7AHZEZRweac/видео.html it says data flows gen 2 is running on spark in Fabric. Is this correct? I thought it is running on Powerquery (?)
Great video long videos with detail will help me start using ms fabric and lakehouse
Great video , thanks. Can you please share from where the sample data is taken, especially the dates.csv
I like this style of demo breakdown where we're not treated like morons :) We can all read the microsoft learn website. Here we dig into each section. From this along I feel I am able to get work done. Thank you
Great video! Can a pipeline be created to run different notebooks on different workspaces?
Great video. It clearly shows the different layers of data lakehouse implementation. Can you also have a video on deployment pipelines with Fabric components to deploy from dev environment to Stg/Production environments?
I agree. Several questions here revolve around devops concepts in addition to ad-hoc ingestion and analysis. I think a video around source control, code deployment and environment setup would be very nice to see. Great video!
Very good video.
Amazing video, thank you very much team!!!!
There is so much gold here for me to learn from. Thank you all!
Great video! A suggestion for the follow up video would be creating the pipelines to run daily and how that shows on OneLake. Thanks again!
cool video, tnx :)
Great video Ryan,
I want to ask that, if a new column need to be added at Power BI dataset level, in above example, is it possible? If yes, then still the model will be in Direct Lake mode? If No, what is the ideal place to add the extra column.
Great vid! Learned a bit more fabric. I enjoyed it.
nice, this size video is best
Hi, would it be possible to make the various notebooks used available to download so we can follow along ourselves?
could you show a deep dive into ML Model tracking with ML flow and the model deployment? The videos released so far do not cover that in detail. Thanks
Great video. Thanks.
great videos
@ryan Can you show us how to create and manage ML models on Azure Databricks
Hi, nice video. One question here: In ruclips.net/video/7AHZEZRweac/видео.html it says data flows gen 2 is running on spark in Fabric. Is this correct? I thought it is running on Powerquery (?)
I’m ok with longer video.