The podcast discusses the integration of data into a fabric lakehouse and the benefits it brings. They explore the concept of a lake house, the layers of data within it, and the challenges of managing permissions and governance. They also touch on the integration of Synapse and Data Factory into Power BI, and the new roles added for real-time model training. Overall, they provide insights into how much data should be integrated into a lakehouse and its impact on businesses.

The hosts discuss Jevon's Paradox and its impact on energy consumption. They also explore the increase in workload due to new technologies like Power BI and AI. The availability of data and efficient analysis leads to a higher demand for data-related tasks. They delve into the adoption and potential of Power BI, fabric, and AI tools, highlighting the significance of valuable insights from production data. The chapter concludes with a discussion on challenges in keeping up with technology and data governance.

What has become a harsh truth is we need to reevaluate how we design and consider what a Workspace is when we are dealing with more than just datasets and reports. We have the data engineer, the data scientist, and more that confuses the amount of items and who is working in a workspace. From organization to security, what is best practice? 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/powerbitips Subscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVv Subscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎ Check Out Community Jam: https://jam.powerbi.tips Follow Mike: https://www.linkedin.com/in/michaelcarlo/ Follow Seth: https://www.linkedin.com/in/seth-bauer/ Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Let's face it. What we do is not easy. But that is less to do with the technical aspect but more with how the data impacts communication. MIke, Seth, & Tommy discuss this post and how stakeholders, the business, and data have a hard time getting along. 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/powerbitips Subscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVv Subscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎ Check Out Community Jam: https://jam.powerbi.tips Follow 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 discuss the distinction between knowledge, wisdom, and understanding in the context of Power BI. They emphasize the importance of discernment and problem-solving skills in hiring. The podcast also touches on the challenges of finding candidates with specific skills, the value of applying knowledge in different domains, and the importance of scaling oneself and engaging with the data community for personal growth.

Mike, Seth, & Tommy go through a mailbag on today's episode: Thank you for providing so much helpful Power BI information. My question - - how can I migrate my Power BI setup from a standalone laptop to a cloud server? This means the reports, pbix files, usdr security and most importantly the data connections. I understand the pbix files can be copied to the new server and opened but how do I reestablish data data connections (several of which are for Cloud based apps like Netsuite) and user security. Wlill I get prompted for these when I reopen the pbix file on the cloud server instance? Your guidance would be appreciated. Thank you. 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/powerbitips Subscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVv Subscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎ Check Out Community Jam: https://jam.powerbi.tips Follow Mike: https://www.linkedin.com/in/michaelcarlo/ Follow Seth: https://www.linkedin.com/in/seth-bauer/ Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Companies struggling to be data-driven despite investing in big data and analytics. Lack of data culture and treating data as a business asset are major obstacles. People and process issues are main challenges to successful adoption of Big Data/AI initiatives.

Hosts discuss investing $100 in Microsoft Fabric, including improvements such as dark mode and synchronizing features. The desire for uniformity and consistency in Power Data Flows is emphasized, along with challenges in cost management and data integration. User interface frustrations, limitations of fabric preview, and issues with sharing Power BI content with external users are discussed. The need for better data model editing and AI innovations in data analysis tasks is explored. Benefits of using notebooks within fabric, challenges in managing data in crowded workspaces, and the importance of unified catalog for data lineage are covered. AI-generated commit messages and auto-summarization features are mentioned.

The hosts discuss biking experiences and new bike features. They also explore the importance of thinking outside the box in Power BI and share troubleshooting tips. They discuss challenging areas in Power BI and problem-solving strategies. Additionally, they discuss analyzing data models and solving complex problems with DAX.

The podcast discusses the challenges of solving business problems with technical expertise, including data updates, write access restriction, recognizing burnout, and the importance of automation. It also highlights the need for rules, governance, and clear communication in successful data analysis. The speakers address the difficulties faced by untrained business users, the misconception of report building, and the complexity of Power BI.