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BrandonHart
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Joined 1 year ago
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Re: Microsoft Fabric with GitHub
I'm reading the other replies and they seem reasonable. What bothers me is the error message. It is specifically a credential error. I would validate that it is a whitelisting issue by attempting to use the PAT on your local laptop. Do a git clone and enter your username and pat when prompted. If you can't connect locally you know it is probably a credential issue.Re: Please Read First - Career Hub Forum: Get Advice, Get Connected!
Hello everyone! I’m a Data Leader based in Atlanta, and I've been working with Microsoft Power BI and Fabric since their inception. I also recently crossed a great milestone by earning my DP-600 certification. Throughout my career, I’ve had the privilege of working across the entire data lifecycle, from hands-on data engineering and pipeline architecture to advanced machine learning models and high-impact visualizations. Right now, I am incredibly passionate about building in Microsoft Fabric, solving complex architectural problems, and connecting with other professionals in the space. I have some big milestones on my horizon: Short-term: Become a Fabric Community Super User and earn my Microsoft MVP designation. Long-term: Step into a Chief Data Officer (CDO) role. I truly believe that a successful career is built on far more than just certifications, networking and community are paramount. With that in mind, I’d love to hear from you: What are your big career goals for this year? Please don’t hesitate to reach out. Let’s connect, share ideas, and talk all things data!Re: Transitioning from experienced DBA/Developer to Data Engineering — Advice Needed?
No two job descriptions for Data Engineers read the same. To be honest it is impossible to know everything. For example, I never used DBT, and most likely most of Fabric/ Databricks Data Engineers probably have not, but some roles absolutely require it. But I would say Python, SQL and cloud based data stores (datalakes, blob storage) . No parquet files, Delta tables and the Pyspark, Request libraries. Then have a great understanding of Medallion architecture. Also undertand Realtime(KQL, Event House) and appropriate use cases for. This will be covered in DP 700 but the concepts will stay the same. With your experience I think getting the DP 700 and if you can get to the point you feel Dangerous in Python would be enough. Microsoft has made it so that you can do a lot without coding but once you can code, you turn into NEO. There is no spoon. One last thought. Oddly enough, a lot of the hiring managers for Data Engineers are are not very technical. So it is important to learn how to talk about everything in layman's terms and thoroughly explain concepts in a way that instills confidence that you really know it.Re: An Overview of Lakehouses and Data Warehouses
Why would you use a Fabric Data Warehouse over a Lakehouse? My guess is for those who are used to doing data transformations using stored procedures. Given that these transformations could be done in other ways, is that a strong enough case for using Warehouses?Vertical Alignment of Header
In both Matrix and Table Visuals please add functionality to vertically align text. This functionality exists in Excel. Two exhibits below. First is current formatting options for The Matrix Visual's header. Note that the vertical alignment option is missing. I would expect 3 vertical alignment options: Align Top Align Center Align Bottom The second image are the option available in Excel for comparison. ExcelEnhance Power BI Desktop Table View with Quick Column Summary Statistics
To enhance the user experience and analytical capabilities within the Power BI Desktop Table View, I propose enhancing the feature that displays quick summary statistics for selected columns. This functionality would be similar to the convenient summary features found in Excel. Specifically, when a column is selected in the Table View, the following statistics should be displayed at the bottom of the screen, dynamically updating based on any applied filters: For Numeric Fields: Sum, Average, and Row Count. For Text Fields: Row Count, Distinct Row Count. For Date Fields: Row Count, Minimum Date, and Maximum Date. Enhancing this feature would significantly improve data validation within Power BI Desktop by providing immediate insights into column data, without requiring users to create explicit measures or paste into Excel. It would streamline DAX formula validation. Pasting in Excel screen shot for an example: This is what I see in Table view today:
