Exploring the benefits of real-time analytics in Microsoft Fabric. Challenges in managing multiple engineers and access control in the development pipeline. Difficulties of building a solution without a clear end goal and integrating data bricks and Unity catalog. Limitations and advantages of real-time analytics in Power BI and Fabric. Integrating Power BI with Delta Tables and potential storage implications. Use of real-time analytics and KQL in Power BI for meaningful alerts and real-time dashboarding.

The podcast discusses change management in Power BI, including the importance of communication and incremental implementation. It explores the challenges of making changes to business logic and calculations, managing master data, and maintaining consistency in reports. The hosts also cover topics such as changing data types, creating a semantic link with datasets, and the limitations of editing a semantic model in a third-party tool.

Discover the new M function for Power Query that allows reading and processing Delta Lake Tables. Explore the benefits of using built-in tools in Microsoft Fabric for DAX measures. Learn about the initial experience with Visual Studio Code for data modeling. Understand the differences between F5 and Back Studio for development. Explore the advantages of the new preview feature in DAX Studio. Discuss the use of notebooks in data analysis and the limitations and capabilities of Delta Lake Tables.

The podcast explores the integration of Tableau with Microsoft's Semantic Link and the ability to spin up a SQL endpoint within Power BI. They discuss the feasibility of using Microsoft Fabric for migrating Tableau reports and the relationship between Tableau and alt tracks. The speakers also touch on the importance of owning data and analytics, the potential uses of OpenAI's GPT technology for business, and the impact of Microsoft's co-pilot cross fabric implementation.

In this episode, the hosts discuss the role of analytics in baseball, creating a seamless user experience for Power BI reports, and the evolution of Data Marts and the introduction of Fabric. They also talk about Microsoft killing Charticulator and the Neb Deneb tool, explore Denab and its relationship with Microsoft Store, and discuss the relevance of Microsoft Access in today's data analysis landscape.

The podcast discusses the concept of treating data projects as products and the benefits and challenges of implementing agile scrum methodology. They also explore the importance of establishing a business intelligence department and the evolution of business intelligence processes.

The hosts react to major announcements by the Microsoft team, including Power BI, Microsoft Fabric, and daily tasks. They discuss the surprise release of Microsoft Fabric for production workloads and the integration of CoPilot into Microsoft products. They emphasize the importance of curated data models and the benefits of the DAX query view. They also discuss new slicers and visual improvements that will enhance the reporting experience. The episode ends with promotions and announcements from the hosts.

Discussion on Power BI adoption, fabric usage, and system oversight in Power BI. The importance of monitoring and decentralization in Power BI management. Challenges of balancing growth and feature limitations. Considerations for launching Power in the fabric ecosystem. Significance of REST APIs in Power BI governance.

Mike, Seth, and Tommy discuss managed self-service in Power BI, including the balance of control and agility in BI, dataset certification implications, and strategies for fostering a robust data culture.

The podcast covers topics such as optimizing data warehouses and reports, using Power BI reports server for cloud-averse companies, and developing an organizational policy for Power BI workspace creation. They also discuss new functions for table creation in a lake house, challenges of bringing custom code and libraries into Microsoft fabric, optimizing partition strategy and file size in Microsoft Databricks, and moving data to the cloud with Power BI.