This is episode 297 recorded on July 4th, 2025, where John & Jason talk the Microsoft Power BI June 2025 Feature Summary including updates to Visual Calcs, Sparklines are now GA (after 4 years), Azure Maps breaking changes, Org Apps updates & revelations, and Power Query editing of Import models in the web.

Episode 297 - Microsoft Power BI June 2025 Feature Summary

This is episode 298 recorded on July 9th, 2025, where John & Jason talk the Microsoft Fabric June 2025 Feature Summary including lots of Notebook updates in Data Engineering, lower cost for AI functions in Data Science, Copilot for RTI dashboards, and more.

For show notes please visit www.bifocal.show

Episode 298 - Microsoft Fabric June 2025 Feature Summary

This is episode 299 recorded on July 21st, 2025, where John & Jason talk the Microsoft Power BI July 2025 Feature Summary including expanded data sharing with Microsoft 365, Copilot updates, field parameters goes GA, Organizational Themes, and more.

For show notes please visit www.bifocal.show

Episode 299 - Microsoft Power BI July 2025 Feature Summary

This is episode 300 recorded on July 31st, 2025, where John & Jason talk the Microsoft Fabric July 2025 Feature Summary including tags in Fabric Domains, Fabric Data Agent integration with Microsoft Copilot Studio, enhancements to Activator, manual control of Auto-Refresh in pipelines, and CosmosDB in preview now in Fabric.

For show notes please visit www.bifocal.show

Episode 300 - Microsoft Fabric July 2025 Feature Summary

This is episode 301 recorded on August 20th, 2025, where John & Jason talk with friends and fellow podcasters Andrew Connell & Julie Turner of the Code.Deploy.GoLive show about how this podcast is AC's fault in the first place, what they are doing with their new podcast, community, and general shenanigans to celebrate the BIFocal.show's 300th episode.

For show notes please visit www.bifocal.show

Episode 301 - Interview with Andrew Connell & Julie Turner of Code.Deploy.GoLive

This is episode 302 recorded on August 20th, 2025, where John & Jason talk the Power BI August 2025 Feature Summary including Copilot in Embedded Reports for SharePoint Online, edit your data model in the Power BI service, TMDL view enhancements, Semantic Model refresh templates with Fabric Data pipelines, and more.

For show notes please visit www.bifocal.show

Episode 302 - Power BI August 2025 Feature Summary

This is episode 303 recorded on August 21st, 2025, where John & Jason talk to Mike Carlo from Power BI Tips.com about Power BI & Microsoft Fabric, how his company is doing Workloads in Fabric, a debate about Lakehouses vs Warehouses, the Power Designer & Entelexos tools, and other fun topics.

For show notes please visit www.bifocal.show

Episode 303 - Interview with Mike Carlo from Power BI Tips

This is episode 304 recorded on September 4th, 2025, where John & Jason talk the Microsoft Fabric August 2025 Feature Summary including a new Flat list view in Deployment pipelines, Bursting controls for Data Engineering workloads, new test capabilities for User Data Functions, the ability to server real-time predictions with ML model endpoints, several updates to Data Warehouse, Database tree in edit tile and AzMon data sources for RTI, the ability to use Python Notebooks to read/write to Fabric SQL Databases, Auto table creation on destination in copy job in Data Factory, and much, much more.

For show notes please visit www.bifocal.show

Episode 304 - Microsoft Fabric August 2025 Feature Summary

Sept. 15, 2017 - The Skayl guys conduct a postmortem on their latest project – bringing to life (don’t be shy, guys, let’s be honest…) one of the Largest-Data-Models-Ever. Taming all that data was a tough job, so we’re here to share the lessons learned.

Three Guys and a Data Model

Episode 3: Postmortem of a Big Hairy Data Model

June 6, 2017 - In this episode Skayl jumps right into the deep end of the pool and start discussing messages models and how they differ from data models.  As software developers, we have spent years building messages to send between our systems.  We high five each other for clever byte-packing schemes that save 10% network traffic.  We celebrate efficient code that marshals and de-marshals our data in less than 6 operations.  But how does all of this relate to data models?  Do message models have a place in the data modeling universe? Are they the same thing?  If not, how are they different?

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