Jasper Taminau
Lead at Datashift
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Jasper is working as Lead at Datashift, a Belgian data consultancy firm. With 14 years of experience in data and Microsoft BI, he specializes in areas such as Power BI, dimensional data modeling, SQL, and end-to-end BI architectures with Microsoft. In addition to his technical expertise, he assists businesses in Power BI governance and adoption, empowering them to advance to the next level of BI maturity.
Jasper finds joy in untangling complex data challenges and transforming them into impactful, high quality and sustainable solutions for businesses, with the goal of making these businesses self-reliant and autonomous.
Away from work, Jasper enjoys riding his racing bike (a shared passion with many other Belgians 😊), loves handball, and relishes attending concerts featuring drums and guitars.
My Recipe for CI/CD in Power BI and Azure DevOps with a Flavor of Governance
There are many options and strategies available for CI/CD when using Git and Azure DevOps for Power BI, each with its own set of benefits and challenges. In this session, I’ll walk you through the "recipe" that worked best for me in my projects. I’ll share key lessons learned from my projects, including how we aligned the technical setup —such as Fabric Deployment Pipelines and workspaces, Azure Pipelines for automated validation and deployment orchestration, Fabric REST APIs, repo structures and policies, etc.— with new or existing governance rules, defined through the Fabric Adoption Roadmap, for Power BI within the organization.
Speaking of governance, what about self-service BI? Do we expect business users to work with Git and Azure DevOps as well? Not quite. To close the session, I’ll demonstrate an alternative solution using OneDrive or SharePoint that meets business user needs without compromising governance or control.
Whether you're just starting out or looking to refine your existing setup, this session will inspire you to establish a solid CI/CD and governance approach in your organization.
Would Vegeta Be Impressed by Fabric IQ’s Power Level?
Microsoft recently introduced Fabric IQ as a new way to work with data by bringing analytics, AI, governance, and business context together in one connected platform. Just as Vegeta in Dragon Ball Z S1E28 was impressed by Goku's power level exceeding 9000, many of us were excited to discover Fabric IQ and how this could be the key to GenBI in a Fabric environment. I am happy to share my experiences with you.
In this introductory session, we will explore what Fabric IQ is, how it connects the Microsoft Fabric ecosystem, and how it helps organizations make data more accessible, understandable, and usable in practice.
Next, we will take a closer look at the similarities and differences between Semantic Models and Ontologies. Today, there is still quite some confusion around how these concepts relate to each other, where they overlap, and when you would use one over the other. We will compare both approaches in terms of purpose, strengths, and their role in a modern data platform, to better understand how they can coexist and complement each other.
Finally, we will look at the role of Fabric Data Agents and how they can be built on top of both Semantic Models and Ontologies. Through a demo, I will show how these agents can be implemented, what to keep in mind when designing them, and some practical best practices. We will also discuss briefly how Fabric Data Agents can fit into the broader governance story when considering the Fabric Adoption Roadmap.
Will we be impressed by Fabric IQ's power level? And, more importantly, will we be able to impress Vegeta and avoid having to collect the Dragon Balls yet again to save the world? Find out in this episode (I mean session), inspired by Dragon Ball Z.
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