Speakers 2025

Discover how Scalable Vector Graphics (SVGs) can transform your Power BI reports in this high-level deep dive. We'll explore how SVGs integrate into native visuals to create custom charts that can take your data storytelling to the next level. This is a demo-first session, and will explore different stages of using SVGs. We cover SVGs in native visuals, LLM-Powered SVG Creation, and go heavily into C# scripts to Automate SVGs and declare 'default' settings to aid SVG implementation - especially using a library of ready made SVG scripts. We will also showcase how to use TMDL and UDF as features that can support similar efficiencies. The target audience for this session are experienced Power BI developers and report designers who are familiar with Advanced Scripting with Tabular Editor and TMDL, who want to push the boundaries of native visuals. The goal is for attendees to leave with a deep understanding of using SVGs in Power BI - and how to utilize them in the most efficient manner.

The ever-fast-paced world demands faster insights. Getting from raw streaming data to an interactive report shouldn’t take hours or even days. In this intermediate, hands-on session, we’ll show you how to transform real-time data into actionable insights with Power BI, all live on stage, with no pre-recordings. We start with real-time data ingestion from a streaming source and take you through the Medallion Architecture, optimizing for sub-second execution. From the gold layer, we’ll build a Power BI report step-by-step, focusing on both speed and usability. Along the way, we’ll share best practices for structuring your data model, optimizing refresh times, and ensuring high performance, even with live datasets. Key takeaways: How to ingest and process real-time data efficiently. Best practices for structuring a Power BI report on top of streaming data while maintaining speed and usability. Techniques to optimize performance, reduce refresh times, and handle continuously updating datasets. This session is for anyone who wants to understand the full journey from real-time data ingestion to building a high-performance Power BI report without compromising speed, usability, or data freshness.

One important bit of the Microsoft Fabric adoption roadmap is System oversight. In this session, we will have a look into what is possible to Monitor and Audit your Fabric Landscape. We will look into the out of the box functionality, what is on the roadmap and we will deep-dive in more advanced functionality by using the Fabric Unified Admin Monitoring Framework (FUAM). This comprehensive framework will include data from different APIs, Capacity Management App, Best Practise - and Vertipaq Analyzer to build an outstanding monitoring solution. We will show live monitoring possibilities with FUAM and our experience by using it in large Fabric landscapes.

Integrating SAP data into Microsoft Fabric and Power BI promises incredible potential—but it’s rarely straightforward. In this session, we’ll cut through the marketing noise and get real about the technical and architectural challenges of working with SAP data. You’ll get a practical overview of the typical problems companies face when dealing with SAP as a data source—ranging from complex data models and performance issues to semantic inconsistencies and tool limitations. We’ll explore SAP’s evolving data and analytics toolset (like BW, Business Data Cloud, CDS Views, Datasphere and SAC) and compare them with Microsoft’s counterparts. We’ll also share real-world insights on: What looks great on paper but fails in practice. Integration patterns that actually scale and work long-term. Key decision points when choosing between tools and platforms. This session is led by Data Purpose, an independent consultancy that lives in both worlds—SAP and Microsoft. Expect honest advice, practical examples, and a roadmap to make informed decisions that go beyond flashy demos.

Microsoft Fabric offers a rich collection of out of the box monitoring functionality. No matter if you are a Fabric administrator, data steward, domain owner, capacity- or solution admin, there is a out of the box solution for your purpose. However, there may be cases in which you want to enrich the provided reports with your organization specifics. You may want to plot the Fabric adoption across your organizational hierarchy? Or extend the retention of the data beyond 30 days? In this session, we will show the out of the box solutions Fabric offers, to understand them and where to find them. Also, we will explain various customization purposes. From simple report customizations, to export options, to automated patterns for long term saving of the data without leaving the Fabric ecosystem! Learning objectives of this session: Where to find the various monitoring reports in Fabric. Understand these reports inside out. Customize the visualizations in these reports. Extract the monitoring data from the admin space for customization and long term saving. Enriching reports with your organizational specific data.

Microsoft Fabric offers a rich collection of out of the box monitoring functionality. No matter if you are a Fabric administrator, data steward, domain owner, capacity- or solution admin, there is a out of the box solution for your purpose. However, there may be cases in which you want to enrich the provided reports with your organization specifics. You may want to plot the Fabric adoption across your organizational hierarchy? Or extend the retention of the data beyond 30 days? In this session, we will show the out of the box solutions Fabric offers, to understand them and where to find them. Also, we will explain various customization purposes. From simple report customizations, to export options, to automated patterns for long term saving of the data without leaving the Fabric ecosystem! Learning objectives of this session: Where to find the various monitoring reports in Fabric. Understand these reports inside out. Customize the visualizations in these reports. Extract the monitoring data from the admin space for customization and long term saving. Enriching reports with your organizational specific data.

Data storytelling, information design, information aesthetics and data art - buzzwords or helpful approaches for data visualization and information provision? Does my dashboard have to be functional and/or beautiful? Will I increase the use and acceptance of my data product with a more beautiful dashboard? But what exactly is a beautiful dashboard? Gestalt psychology concepts such as the ‘Gestalt Principles’ show how our brain organizes information in order to find meaning in visual perception. The targeted use of colours, shapes, symmetry and other visual elements can create designs that have a profound impact on the viewer. Neuroaesthetics shows how our brain processes visual information. In dashboard creation, however, it is not only important to create appealing dashboards, but also to adhere to basic standards. We therefore also look at various dashboard guidelines that ensure the correct interpretation of data and therefore the underlying function of a dashboard. In this presentation you will learn how the right balance between aesthetics and functionality increases the effectiveness and accessibility of data. We will highlight design approaches and best practices based on neuroscientific principles, both functional and aesthetic. Be inspired by current trends and learn how information design can revolutionize your understanding of data - for a clear, intuitive and yet standardized presentation of complex information.

Data storytelling, information design, information aesthetics and data art - buzzwords or helpful approaches for data visualization and information provision? Does my dashboard have to be functional and/or beautiful? Will I increase the use and acceptance of my data product with a more beautiful dashboard? But what exactly is a beautiful dashboard? Gestalt psychology concepts such as the ‘Gestalt Principles’ show how our brain organizes information in order to find meaning in visual perception. The targeted use of colours, shapes, symmetry and other visual elements can create designs that have a profound impact on the viewer. Neuroaesthetics shows how our brain processes visual information. In dashboard creation, however, it is not only important to create appealing dashboards, but also to adhere to basic standards. We therefore also look at various dashboard guidelines that ensure the correct interpretation of data and therefore the underlying function of a dashboard. In this presentation you will learn how the right balance between aesthetics and functionality increases the effectiveness and accessibility of data. We will highlight design approaches and best practices based on neuroscientific principles, both functional and aesthetic. Be inspired by current trends and learn how information design can revolutionize your understanding of data - for a clear, intuitive and yet standardized presentation of complex information.

When building an Analytical Platform in Azure, you can choose between Azure Databricks and Microsoft Fabric. However, both of them have their specific strengths and you might want or need to use both of them. In this session we will cover how the two technologies can work to together to get the best of both worlds.

In this session, I’ll show how Artificial Intelligence can take internal IT support to the next level — by automating ticket triage, routine workflows, and even physical asset management. You’ll see real examples of AI in action: chatbots resolving first-line issues 24/7, smart routing that cuts resolution time in half, and AI co-pilots helping developers fix problems before they escalate. I’ll walk you through a practical, step-by-step roadmap for implementation, highlight key KPIs to measure success, and share lessons learned from real-world adoption — including mistakes to avoid. This talk is ideal for IT leaders, support managers, and anyone looking to transform their internal support from a cost center into a strategic advantage.

The way we build and manage data pipelines is changing — fast. Spreadsheets, wizards, and drag-and-drop interfaces no longer cut it in a world that demands agility, scalability, and governance. A new paradigm is emerging: code-first ETL, powered by notebooks, automation, and DevOps principles. In this session, we explore how this shift is reshaping the data engineering landscape. From development workflows to production readiness, we look at how modern lakehouse platforms enable teams to build robust, testable, and version-controlled data pipelines — without sacrificing speed or flexibility. Whether you're working in Microsoft Fabric, Databricks, or any cloud-native data stack, this talk will give you a fresh perspective on how notebooks, code, and automation can unlock the next level of productivity in your data projects.

Learn how a platform engineering team can deliver a fully automated, customizable CI/CD service for Power BI reports and semantic models via GitLab and Python—no Fabric Git integration required. In this session, we’ll focus on the conceptual architecture and best-practice patterns using Power BI .pbip files with the open-source fabric-cicd and pbipy Python libraries. Session highlights: End-to-End high-level deployment architecture. Centralized platform approach for scaling deployments across multiple workspaces. Branch-based release strategies and environment isolation. Service Principal & Workload Identity Federation patterns for secure authentication. Automate report & semantic-model publishing with Python. Note: While the demos use GitLab, the same approach should also work for example, with Azure DevOps or GitHub

In the evolving landscape of Microsoft Fabric, selecting the optimal house for the gold layer and the right semantic model connection mode—Import, Direct Lake, or DirectQuery—can feel like navigating a maze. This session sheds light on the performance and functional implications of each option by benchmarking Power BI queries. Using a dynamic notebook, we execute consistent Power BI queries across multiple models to evaluate runtime performance under various conditions, including Row-Level Security (RLS) applied at different levels (fact table, small dimension, large dimension). What you’ll learn: Decision drivers for each house (Warehouse, Lakehouse, Eventhouse). Strength and weakness of the different Power BI connection modes (Import, DirectQuery, Direct Lake). Pros and Cons for RLS in SQL Endpoints and Semantic Models. How to dynamically execute and trace Power BI queries for performance benchmarking. Whether you're optimizing for query speed, scalability, latency, or security, this session will help you make informed, data-driven decisions about your gold layer architecture in Power BI.

In the evolving landscape of Microsoft Fabric, selecting the optimal house for the gold layer and the right semantic model connection mode—Import, Direct Lake, or DirectQuery—can feel like navigating a maze. This session sheds light on the performance and functional implications of each option by benchmarking Power BI queries. Using a dynamic notebook, we execute consistent Power BI queries across multiple models to evaluate runtime performance under various conditions, including Row-Level Security (RLS) applied at different levels (fact table, small dimension, large dimension). What you’ll learn: Decision drivers for each house (Warehouse, Lakehouse, Eventhouse). Strength and weakness of the different Power BI connection modes (Import, DirectQuery, Direct Lake). Pros and Cons for RLS in SQL Endpoints and Semantic Models. How to dynamically execute and trace Power BI queries for performance benchmarking. Whether you're optimizing for query speed, scalability, latency, or security, this session will help you make informed, data-driven decisions about your gold layer architecture in Power BI.

This session showcases advanced, fully native Power BI visualizations built using DAX, field parameters, and Visual Calculations - without custom visuals or third-party tools. We’ll cover practical examples such as: segmentation (TOPN, Pareto, quadrant logic). variance and structure analysis (comparison tables, waterfalls, heat-maps and others). time-series breakdowns using time intelligence. dynamic views with field parameters. The goal is to show how to build reports that are insightful, dynamic, and aligned with analytical goals.

We explore how to go from foundational AI concepts to enterprise-scale deployment using Microsoft Fabric. This session will walk through real-world scenarios, architecture patterns, and performance strategies that empower teams to build, scale, and operationalize AI solutions efficiently. Whether you're just starting out or looking to optimize your AI pipelines, this talk will equip you with practical insights to accelerate your journey from zero to hero.

We explore how to go from foundational AI concepts to enterprise-scale deployment using Microsoft Fabric. This session will walk through real-world scenarios, architecture patterns, and performance strategies that empower teams to build, scale, and operationalize AI solutions efficiently. Whether you're just starting out or looking to optimize your AI pipelines, this talk will equip you with practical insights to accelerate your journey from zero to hero.

Jump start your understanding of AI with this crash course in everything you need to know to start using AI every day for many different purposes.. Data professionals need this information and this session was designed for you, not for an app developer. Here you will receive explanations of the important parts of AI in order to implement AI in many different aspects of your job from writing emails to developing ETL or Power BI reports. You will learn all about generative AI, prompt engineering, Retrieval Augmented Generation (RAG) and Vector Databases. The demonstrations will show you how to implement the skills so you will leave knowing how to b use AI. The best part is you will learn how to improve your productivity with AI without any compute costs. This session will also provide an understanding the basics of Azure AI and the many Microsoft Copilots, particularly the ones integrated with Fabric and Power BI.

This session will present a proven Fabric-Warehouse-Solution using dbt. The session is particularly interesting for people with T-SQL knowhow and an interest in increasing efficiency when working with Fabric Warehouse. The agenda is defined as follows: Introduction to dbt and Fabric and the benefits of the solution. Presentation of the Fabric target architecture (workspaces, layers, and Fabric artifacts). Live demo: Creating dimensions and fact tables. Live demo: CICD process and solution support

This session will present a proven Fabric-Warehouse-Solution using dbt. The session is particularly interesting for people with T-SQL knowhow and an interest in increasing efficiency when working with Fabric Warehouse. The agenda is defined as follows: Introduction to dbt and Fabric and the benefits of the solution. Presentation of the Fabric target architecture (workspaces, layers, and Fabric artifacts). Live demo: Creating dimensions and fact tables. Live demo: CICD process and solution support

We'll dive into the technical aspects of Power BI Embedded. Looking at what's needed to embed your first report. Examples of what you can do to an embedded report. Examples of what you can do from an embedded report. During the session, we'll look at code, Power BI reports, pretty charts, and the lovable and inexhaustible Bluey

We'll dive into the technical aspects of Power BI Embedded. Looking at what's needed to embed your first report. Examples of what you can do to an embedded report. Examples of what you can do from an embedded report. During the session, we'll look at code, Power BI reports, pretty charts, and the lovable and inexhaustible Bluey

SQL Server 2025 was announced in November 2024, and will probably be in preview, or perhaps already released, at the time of this conference. Join execution plan expert Hugo Kornelis as he takes an in-depth look at all the new features that affect query performance and execution plans.

Collecting Delta parquet files at real time in Fabric for AI consumption and utilizing Azure AI Foundry with Semantic Kernel to use Natural Language for retrieving insights using Agents and MCP servers. In this session, we will use a Content Management system that produces parquet files on a daily intervals that contain valuable data about client journeys, touchpoints and conversions from a website, mobile app and social media in order at the end for a marketing team to ask deep questions about the pattern of usability for the Digital Experience offering.