Microsoft Data Podcast – Analytics, Fabric & Data Governance Episodes
Modern Microsoft architectures are increasingly data-driven, spanning analytics, reporting, automation, and AI workloads. Data Talk focuses on data platforms and governance within the Microsoft ecosystem, including Microsoft Fabric, analytics services, and enterprise data architectures.
Episodes cover topics such as data modeling, pipelines, governance models, security boundaries, and integration with Microsoft 365 and Azure. We explore how data flows across services, where governance breaks down, and why unmanaged growth creates long-term risk.
Data Talk emphasizes understanding data systems as operational platforms rather than isolated analytics tools. Discussions include identity and access models, compliance considerations, data residency, and the interaction between AI-driven services and enterprise data.
This category is intended for data architects, engineers, and IT leaders responsible for designing and governing Microsoft data platforms. If you need clarity on how Microsoft data services behave at scale, Data Talk provides grounded, experience-based insight.
The podcast featured discussions among experts on Microsoft Fabric's data management tools, focusing on data flows, pipelines, notebooks, shortcuts, and stored procedures. The conversation highlighted the strengths and limitations of each tool, emphasizing how they complement one another in data or…
Microsoft Teams is widely used in many companies – but rarely as a true project management platform. In this episode, you will learn how to transform Microsoft Teams into a centralized project command center using Planner, Lists, structured channels, and automation. You will discover how to properl…
In the chaotic world of cybersecurity, hearing the words “We’ve been hacked” sends chills down the spine of any IT professional. I still vividly remember the first time I faced a potential breach in my own organization. It wa...
The podcast featured discussions on Microsoft Fabric's AI Skills, presented by experts in data analytics and AI integration. The conversation highlighted the challenges faced by data teams, such as backlogs in report requests and the technical barriers for business users in accessing data insights.…