Thank you! Your teaching style is awesome! This is the first of your videos that I have watched. Can I ask you for some pointers in loading XML files? Riz
Thanks for your comment. I'm glad you liked it. As for the XML files, you'd first ingest them into OneLake using a ADF pipeline. Then, parse and transform using PySpark to create a structured Delta table.
Yeah, companies are taking a closer look at Fabric, now it is Generally Available. As for the copilot, it is out in a preview mode now. Microsoft is aiming to roll out Copilot by the spring 2024.
Thank you. Yes, you can also connect to a Power BI dataset in Lakehouse using the standard Power BI Desktop. When building production reports, it is recommended to use the desktop version, as it has more features available than the browser version.
Thank you for the lesson. I have an doubt in the line chart, we can arrange the month in order on powerbi desktop .What we have done in powerbi sortby column that i cannot able to perform in fabric. Can you able to teach me to sort out this problem.
This is a good question, thanks! As of today, when building Power BI reports in the browser, you have some limitations when editing datasets. One of these limitations is the option to sort one column using another column. For example, when you need to sort the month name (January, February, March) by the column month number (1, 2, 3, …). One workaround is to use Tabular Editor. Here is the step-by-step process: 1. Open Tabular Editor > go to File > Open from DB. 2.In the field “Server” you need to put your Fabric workspace connection string. This can be found in Workspace Settings > Premium. 3. For the Authentication method choose Windows Integrated or Azure ID login. Once authenticated, connect to your Lakehouse or DWH. 4. In the object explorer, find your table under the folder “Tables”. 5. Select your column (MonthName). Under the Basic group of properties, find the field “Sort by Column”. Choose the name of a column by which you want to sort the selected column (Month Number). 6. In the upper menu, find the button “Save the changes to the connected database”. 7. Go back to the Power BI report and update it. After the update, you should see the changes. Hope this works for you.
Your 'error' on the column data type (price), was actually very instructive...are you sure you didn't do it on purpose (laughs!) Good to see how to problem solve : thanks. OH, and super video. Glad you made it fairly straighforward.
Thanks for sharing this. For create relationship, is it better in SQL Analytics Endpoint or by create new dataset (Semantic model). And may I know the pros and cons between the two ? Thanks again.
Hi, it's Nik here. In my personal opinion, if you have PBI Desktop on your computer, use that to model and build reports. It gives you a full range of capabilities. The browser version is a good solution for a quick analysis and putting together a basic report; or if you don't have Power BI Desktop on your machine. Now that Fabric is GA, I'm sure Microsoft will improve and change the SQL endpoint view and the report building experience in the browser. Currently, the two biggest drawbacks of the browser version are: 1. You don't have a full set of options and capacity to manage a model, like you do in the Desktop version. For example, you cannot create new tables and columns. 2. Currently, the browser version does not have a proper version control, e.g. everything you do in the browser is saved immediately. This can be a concern for some developers until Microsoft comes with a solution to fix this. Hope that helps. Thank you!
Very good question, thank you! I have not tested it myself yet. But here is a video I found that talks about this: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-zoH_9L9sPYs.html
thanks for the video @centidaBI and I have a question/ How you loaded the factorders.csv file into data warehouse ? I could see other files as well loaded into warehouse. can you help me with the approach to load the csv files into warehouse ?
Thank you for this demo. Can you share the Order Details and Fact Orders as a csv? This way we can still complete the training without the shortcut or pipeline data load.
My company has some data on Azure SQL that refreshes once every 24 hours. I can write dataflow to bring selected rows into PowerBI. However I want to create some reusable summary tables for which I think Python would be great. Is it possible that in Lakehouse, 1- I create Dataflow that brings data from Azure SQL into a table 2 - Create scheduled pipeline that runs every 24 hours and runs the Dataflow that overwrite my table 3 - Use Pyspark or something similar to create the summary table 4 - Write that table to Lakehouse I am not sure how step 3 and 4 will be automated on schedule? And I am not sure if above is possible at all? Can you please help?
Hi, thanks for your comment and apologies for a late reply. With the holiday season got caught up in a lot of things. Re - Summary tables. If you're working within the Microsoft ecosystem and the data transformations are straightforward, Power Query within Power BI might be a simpler and more integrated option (this is Nik's personal opinion). If the transformations are complex and you're more comfortable with Python, then go with Python. Answers to your questions: 1. Yes. You can definitely use Microsoft Fabric to import data from Azure SQL Database into your Lakehouse, given you have all the permission. 2. It's possible to configure an ADF pipeline to automate your Dataflow, with schedules to refresh and overwrite data as per your needs every 24 hours. 3. PySpark is a good choice for summarizing data within Microsoft Fabric. 4. You should be able to automate data summarization and updates in Lakehouse notebooks, with scheduling handled by pipelines.
Thanks for pointing this out. My bad, just added the SQL script to create a Fact table: centida-my.sharepoint.com/:f:/p/nikolai_pavlov/Elp_2jvMZlFLleo32E1-lN4BS92bJKV-AjNa7ZKBFi4DlQ?e=Z9UBiU
Thank you for your feedback! If you're already proficient in Power BI and SQL, I'd recommend focusing on getting hands-on experience with real-world projects to further strengthen your skills and build your portfolio.
Is there a way to prevent snakes and mosquitoes? I guess if the water isn't stagnant mosquitoes may not come but snakes can get attracted to water. I wasn't sure if this was accounted for during the construction. Beautiful home... absolutely phenomenal.
Hi. You're right, I made a mistake. Thank you for pointing this out! For some reason, I was thinking about the profit margin type calculation in my head while recording the video. Apologies for a confusion. But the main idea of the video is to show how to go through a project from end-to-end.
