Episode 195
| March 26, 2020
| 40 minutes
Understanding DAX
The number of new programming languages never ceases to amaze me. Technology advances continue to require new ways of allowing users to customize the way they use tools and Power BI is no different. In this episode, Ginger Grant joins us as we continue the conversation about DAX and some considerations you need to make should you want to pick up another language for the toolbelt.
Helpful learning info:
- “Power Pivot and Power BI: The Excel User’s Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016” by Rob Collie & Avi Singh
- Marco Russo & Alberto Ferrari’s books:
“The Definitive Guide to DAX”
“Analyzing Data with Power BI and Power Pivot for Excel” - “Beginning DAX with Power BI” by Philip Seamark
- Advanced DAX
My grand vision whenever I submitted this title was specifically the fact that I think that DAX is a giant pain to learn.
Meet the Hosts
Carlos Chacon
With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at databasehealth.com and provides training through SQL Trail events.
Eugene Meidinger
Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.
Kevin Feasel
Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
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