Explicit Measures Podcast

Discover how organizations can seamlessly integrate Power BI with Google data platforms. The hosts explore the intricacies of migration, highlighting user experience and cost-effectiveness. They debunk myths about Power BI, showcasing its true strengths in data modeling beyond just visualization. The discussion also includes a cost comparison of software solutions, stressing the importance of an integrated data culture. Finally, learn how metric sets enhance user engagement and collaboration between technical teams and business users.

The hosts delve into the Fabric Toolbox on GitHub, highlighting features that enhance DAX performance, including new code actions in Tabular Editor. They explore the new Copy Job capabilities in Microsoft Fabric and discuss exciting innovations in user interfaces for data management. The playful banter about puns leads seamlessly into technical insights on caching in Power BI. Additionally, they emphasize the collaborative potential of the Fabric Toolbox and the intricacies of running notebooks, making it a must-listen for data professionals!

Mike and Tommy dive through another stellar article by Kurt Buhler on the argument for and against pie charts.1https://www.sqlbi.com/articles/using-pie-charts-is-not-the-end-of-the-world/Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Mike & Tommy go through a question from our mailbag on how to manage multiple datasets in Power BI. Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Discover the evolving landscape of composite models in Power BI! The hosts explore the advantages and challenges of integrating PySpark within lake house environments. Learn about new features like Direct Lake and their impact on reporting tools. They discuss the necessity of clear governance when using composite models to ensure data integrity. Plus, insights on how Microsoft Fabric redefines data storage and management highlight the potential for better analytics. Tune in for a deep dive into effective data modeling strategies!

Mike & Tommy answer a great mailbag question on what it means to be a Citizen Developer in an organization with a low Data Culture.Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

The hosts dive into the world of SQL databases, sharing insights from a thought-provoking article. They discuss the evolution of data management from traditional systems to the innovative Microsoft Fabric. Listeners will love hearing about the importance of user-friendly tools and the integration of Git for source control. The conversation also touches on the frustrations faced with coding platforms, emphasizing the need for better experiences. Overall, it's a captivating exploration of how modern technology is transforming data solutions.

Celebrating 400 episodes, the hosts reflect on their journey and the evolution of data culture. They delve into choosing the right data storage solutions within Microsoft Fabric, highlighting the shift from SQL servers to cloud-based lake houses. Discussions cover navigating Git workflows and the impact of automation in coding. They also explore the semantic model's role in data-driven decision-making, emphasize breaking down data silos, and evaluate the performance of Data Flows versus traditional SQL methods.