Forum Discussion
Lakehouse Tutorial issues preparing and transforming data in the lakehouse
Hi v-aatheeque!
Thank you for your reply. Can you help me locate the "Lakehouse" icon or "Attached items"?
Am I missing something?
Thank you very much for your help,
Marko
Hi mlukicic
Based on the screenshot you shared, I followed the steps from the provided document (Lakehouse tutorial - Prepare and transform lakehouse data - Microsoft Fabric | Microsoft Learn) and was able to get the expected output as shown below.
Can you once cross check this below steps :
1. Refresh your Lakehouse view to make sure the tables (fact_sale, dimension_date, and dimension_city) are actually there.
2. Check that your Spark code is using the right schema.
3. Make sure your notebook is connected to the right Lakehouse.
4. Double-check the table names, even a small spelling mistake can cause this error.
To attach the lakehouse as per the newFabric UI :
- In the Explorer panel, click + Add data items.
- Select New Lakehouse/Existing data sources.
- Choose your Lakehouse (e.g., wwilakehouse) and click Add.
- Ensure it appears under Items with a database icon.
Hope this helps !!
Thank You.
- v-aatheeque9 months agoCommunity Support
Hi mlukicic
Have you had a chance to look through the responses shared earlier? If anything is still unclear, we’ll be happy to provide additional support.- mlukicic9 months agoRegular Visitor
Hi v-aatheeque,
Thank you for your help and time.
Unfortunately, I couldn’t get this to work. I deleted the entire Lakehouse and started over, following the tutorial step by step. However, I noticed some differences between my UI and the tutorial.
When I opened the Notebooks from the tutorial, I saw that some resources were attached in the Explorer, all marked with red icons and a white cross, indicating an error. This happened on both Notebooks. I deleted all these resources, added the wwilakehouse Lakehouse, and set it as the default resource.
The first Notebook ran without any issues. However, in the second Notebook, the files were not auto-registered as Delta tables as described in the tutorial.
Unless you have any suggestions on where to look next, I’m closing this and moving forward. From my perspective as a machine learning engineer, Fabric seems workable, but it still needs improvement.
Thanks,
Marko
- v-aatheeque9 months agoCommunity Support
Hi mlukicic
Thank you for the detailed update ,It’s great to see the thorough steps you’ve taken to validate and troubleshoot the tutorial process.
The differences you noticed in the UI and the auto-registration behavior are valuable observations. Since Fabric is still evolving rapidly, your feedback could help improve future experiences.
If you’d like, you can share this suggestion directly through the Microsoft Fabric Ideas portal (https://ideas.fabric.microsoft.com/). The product team actively reviews user inputs there for feature improvements.
Appreciate your time exploring this and sharing your insights!