Sep 1, 2025 路 2 min read 路 I was writing a blog on Direct Lake incremental framing but my colleague Chris Webb beat me to it and just published an excellent blog. To summarize, with incremental framing, when a Direct Lake semantic model refreshes, it analyzes the Delta log to ...
Join discussionJul 23, 2025 路 2 min read 路 Default semantic models will be going away : read the announcement here and the details. Starting August 8, 2025, Power BI default semantic models are no longer created automatically when a warehouse, lakehouse, or mirrored item is created. Note that...
Join discussionFeb 10, 2025 路 2 min read 路 Here is a quick script to copy a semantic model from one workspace to another in the same tenant, assuming you are contributor+ in both the workspaces. I tested this for a Direct Lake model but should work for any more other semantic model. This just...
RDJRRebecca and 1 more commentedDec 7, 2024 路 11 min read 路 In my last blog, I showed how to use Polars in a Fabric Python notebook to read, write and transform data. What I did not cover was how to write a Delta Lake table in a Python notebook that鈥檚 optimal for DirectLake performance. All engines in Fabric ...
KKay commentedNov 17, 2024 路 7 min read 路 When dealing with massive amounts of data stored in modern platforms like Microsoft Fabric, one challenge always looms: How do you secure access while making the process seamless for users? Fixed Identity and Row-Level Security (RLS)鈥攁 duo that not o...
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Nov 8, 2024 路 9 min read 路 I have been sitting on this code for a long time. I shared the first version in one of my blogs on Direct Lake last year. I have been making updates to it since then as needed. I waited for the lakehouse schema to become available and then forgot to ...
MMicheal commentedOct 15, 2024 路 1 min read 路 En esta sesi贸n descubrir谩s c贸mo centralizar y simplificar el manejo de datos en tiempo real. Con el Real-Time Hub de Microsoft Fabric, puedes gestionar f谩cilmente flujos de datos en streaming desde m煤ltiples or铆genes en un solo lugar. Tambi茅n veremos...
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Oct 3, 2024 路 3 min read 路 One of the annoying limitations of Direct Lake (rather of the SQL endpoint) was that you could not have spaces in table and column names in the delta table. It was supported in the delta table but the table was not query-able in the SQL endpoint whic...
Join discussionNov 22, 2023 路 14 min read 路 In the flurry of announcements at MS Ignite, one significant feature related to Direct Lake got buried. You can now control the fallback behavior of the Direct Lake semantic model. Before we get into how you do that, a quick recap of what is fallback...
RAMattia and 1 more commentedJul 10, 2023 路 7 min read 路 When using the Direct Lake dataset, query performance primarily depends on whether the columns are cached in memory. If the dataset has not been framed, there will be nothing in the cache, meaning you are encountering a cold cache. In this state, the...
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