Having Error when connecting to data source
Hi all, I am getting this error when I try to use the Copy Data with the Dynamic AX connector to connect my D365fo data to the Lakehouse. I have setup the APP registration from Azure with my Microsoft Entra ID. Below is the error detail I get. Error code: 23205 Details: Requesting response from path and query failed with status code Forbidden and message {"Message":"Please verify that the user is valid and set up correctly."}.
Concurrent Git Branching in Fabric Workarounds for Data Rehydration?
Hi Fabric Community, We're looking for recommendations on Git branching strategies for multi-developer teams in Fabric. The Challenge: In Synapse, developer branch selection was independent per user. In Fabric, changing the workspace Git branch alters the branch for all users in that workspace, making concurrent development on separate branches difficult. Current Workaround & Pain Point: Fabric documentation recommends creating a new workspace per feature branch. Issue: Rehydrating data for every feature workspace is time-consuming and something we want to avoid. Questions: What is the recommended best practice for isolated concurrent feature branching in Fabric? Are there established patterns (e.g., using shortcuts, thin reports, or shared lakehouses across dev workspaces) to avoid rehydrating data for each feature workspace? Appreciate any insights!Concurrent Git Branching in Fabric Workarounds for Data Rehydration?
Hi Fabric Community, We're looking for recommendations on Git branching strategies for multi-developer teams in Fabric. The Challenge: In Synapse, developer branch selection was independent per user. In Fabric, changing the workspace Git branch alters the branch for all users in that workspace, making concurrent development on separate branches difficult. Current Workaround & Pain Point: Fabric documentation recommends creating a new workspace per feature branch. Issue: Rehydrating data for every feature workspace is time-consuming and something we want to avoid. Questions: What is the recommended best practice for isolated concurrent feature branching in Fabric? Are there established patterns (e.g., using shortcuts, thin reports, or shared lakehouses across dev workspaces) to avoid rehydrating data for each feature workspace? Appreciate any insights!
Workspace Git Sync Error - Unable to initialize your workspace
I currently cannot sync from git into our central DEV-workspace anymore. I have tryed syncing the git-branch into a different workspace and it works. When trying to sync the DEV-workspace, I instantly get an error "Unable to initialize your workspace". Syncing is not even tried. Please note that to fix a syncing error, we already detached and reattached the git-branch from the workspace.Prepping for DP-700 in ~18 days — what should I prioritize, and where?
I'm sitting the DP-700 exam in about two and a half weeks. I've already been through Aleksi Partanen's 11-hour video course and hold DP-600, so I have the Fabric fundamentals down — workspaces, OneLake, general security concepts, etc. I've also worked through the official Microsoft Learn paths for Ingest Data, Implement a Lakehouse, and Real-Time Intelligence, plus the official DP-700 study guide as my checklist. What I'm trying to figure out is where the real gaps are likely to be for someone in my position, and which resources are actually worth the time versus which ones just repeat what a DP-600 holder already knows. A few specific things I'd love input on: Which parts of the exam tend to catch DP-600 holders off guard — is it mostly the streaming/Real-Time Intelligence side, the monitoring and optimization domain, or something else entirely? For anyone who's taken it recently: were there topics that came up on the exam that aren't well covered by the official Learn paths above? Any specific resource — a course, blog, practice test, or lab — that made a real difference for you beyond the standard Learn paths? Happy to hear about paid resources too if they were worth it. Any recommendations on how much weight to put on hands-on PySpark/KQL practice versus reading — did the exam lean more toward code recognition or conceptual/scenario questions? Appreciate any pointers, especially from people who've taken it in the last month or two given the exam content gets refreshed periodically.
[PBIUG Italy - RT] PBI Explorer Showcase
PBI Explorer lets you take full ownership of your Power BI reports It gives you a code-first view of your PBIX/PBIP reports. All visual properties, settings, and relationships are fully exposed in Tabular Editor style. It Explorer provides a git-like diff view between two reports, highlighting what's been modified or removed and it provides a view of all elements from the data model used in the report. You can see all report features that are difficult to inspect visually (like bookmarks, filters, etc). Mathias is one of the creators of PBI Explorer and he will guide us through it.
