Track

Power BI / Fabric

Become the data transformation hero using Microsoft Fabric!

English · Intermediate (200)

Emilie Rønning Emilie Rønning

As a data engineer you are responsible for transforming the data from source to a data model, ready for further analysis. A crucial part of the analytical solution, but still to some degree overlooked as the visual presentation of data is easier to consume for end users. Microsoft Fabric closes the gap between different data roles and enables increased visibility of the work we do with data across roles. But how does it work in real life? In this session, you will learn how you can use Microsoft Fabric as a data engineer, both on a beginner and experienced level. We will discuss which tools to using moving from low code to heavy coding. We will take a look at how you can utilize pipelines for ingesting data and orchestration of your ETLs and how you can create a secure and robust solution. There are a lot of decisions to be made as we move through the different examples and tools, so we will of course cover the elements you should consider for your solution.

Best Practises für Datenvisualisierung: Übersichtlichkeit, Informationsgehalt und Barrierefreiheit

Intermediate (200)

Ina Humpert Ina Humpert
Julia Norget Julia Norget

Für welche Anwender:innen ist ihr Dashboard unbrauchbar? Barrierefreiheit, Design und die richtige Farbwahl spielen nicht nur bei der Erstellung von Internetseiten, sondern auch im Reporting eine wichtige Rolle, um Berichte nutzbar zu machen. Die Zielgruppendefinition ist dabei der zentrale Punkt, um auf die potenziellen Anforderungen einzugehen. Welche Besonderheiten hat meine Zielgruppe? Welche Informationen liegen der Zielgruppe vor? Anhand von Power BI und Python Dashboards stellen wir in diesem Vortrag praxisnahe Tipps zur Gestaltung vor.

Design Intelligence: 5 steps to visualizations with human impact

English · Intermediate (200)

Mariska van Kan Mariska van Kan

Data visualization is often treated as an afterthought: pick a chart, format it, and move on. But visuals determine whether insights land or evaporate. A chart is never just a chart. In this session, the default approach to data visualization is challenged.  You’ll learn a 5-step model for creating visuals that shape interpretation and influence behavior, designed not just to display data, but to communicate a clear, intentional message. We’ll explore what it means to make visuals “human literate”: crafted for how people actually read, decide, and respond. You’ll see how context turns a chart from passive to persuasive,  and how even standard visuals in Power BI - without custom visuals, SVGs or Deneb - can be crafted to deliver clarity and conviction. This session is not about UX design or technical tricks. It’s about the visual layer itself: the creative, strategic process of choosing and refining visuals to match your message. Because one of the most persistent myths in BI is that picking a data visualization is simple. In reality, it’s a dynamic design discipline with endless possibilities shaped by your audience, your goals and your story. As AI accelerates insight generation, the pressure to communicate clearly grows. This is the moment to hone in on design intelligence to link data and decision making. This session is for BI developers, dashboard designers, data professionals, and anyone who wants to move beyond “just visualizing” and start communicating with data.

Fabric User Data Function: Write Back with Translytical Task Flows

English · Advanced (300)

Dennes Torres Dennes Torres

Fabric User Data Function: Write Back with Translytical Task Flows User Data Functions in Microsoft Fabric are so powerful and versatile that they’ve become known by many names. One of their most anticipated capabilities—Write Back—has finally arrived, unlocking an entirely new dimension in Power BI solutions. This new feature, now rebranded with the dynamic title Translytical Task Flow, allows users to interact with and update data directly from their Power BI reports. It empowers us to go beyond analytics and truly close the loop between insight and action. Among the many exciting use cases enabled by Write Back, one that stands out is the ability to capture unstructured contextual information—adding real-world nuance directly into your reports Join this session to explore how User Data Functions and Translytical Task Flows can elevate your Fabric solutions. Discover practical scenarios, implementation tips, and the transformational potential this functionality brings to your data platform.

I have always asked for export to Excel. What can you do to avoid this request?

English · Intermediate (200)

Martynas Jočys Martynas Jočys

I was always the evil guy asking for export to Excel from Power BI and I always had reasons for that. But now I work with Power BI myself and use my prior experience to avoid such requests from my users. During this session, I will reveal why I righteously asked for export to Excel, explain what report authors could have done differently to prevent me from asking that, and what you could and should do to prevent such cases in general. Disclaimer – This involves not only the report design but also thinking strategically about development and caring much more about user experience. By the end of this session, you will know how to approach your next data project, so users will not ask for export to Excel.

Kommuniziere mit deinen Daten – KI-gestützte Interaktion mit Power BI und Power Apps

Advanced (300)

Florian Kleinz Florian Kleinz

Daten können mehr, als nur betrachtet zu werden – sie können verstanden, befragt und in echte Interaktionen verwandelt werden. In dieser Session wird gezeigt, wie Power BI mit Hilfe von Power Apps und KI-Funktionen zu einem intelligenten Analyseerlebnis wird, das den Dialog mit den eigenen Daten ermöglicht. Mit Diensten wie Azure OpenAI oder dem Power Platform Copilot eröffnen sich völlig neue Wege, um Daten zu erkunden. Fragen können in natürlicher Sprache gestellt werden, KI-basierte Antworten liefern passende Insights, und durch Spracheingabe oder Sprachausgabe wird die Analyse noch intuitiver. Ob integriert in Power BI oder als eigenständige Canvas App – KI sorgt für eine neue, natürlichere Form der Datenkommunikation. Im Fokus stehen: die Kombination von Power BI und Power Apps zur interaktiven Analyse, der Einsatz von KI-Modellen zur Interpretation natürlicher Sprache, die Nutzung von Texteingabe, Sprachausgabe und Kontextinformationen, sowie Best Practices für Integration, Sicherheit und Benutzererlebnis. Nach dieser Session wird deutlich, wie KI dabei hilft, Daten lebendig zu machen – und wie aus Analyse ein echtes Gespräch mit den eigenen Informationen entsteht.

Power BI Everywhere – Embedding, Apps & Automations

English · Intermediate (200)

Keith Atherton Keith Atherton
Sarah Guest Sarah Guest

Power BI doesn’t have to stay locked inside dashboards — it can be woven throughout the Power Platform to drive action, insight, and automation. In this session, we’ll explore practical ways to embed Power BI into both canvas and model-driven apps, integrate reports with Power Automate, and even use Copilot to surface insights through natural language. You’ll see how to create connected experiences where data flows seamlessly between apps, automations, and analytics. Expect plenty of demos, real-world examples, and ideas you can take straight back to your next project.

Step-by-Step Guide: Building ETL Workflows in Microsoft Fabric

English · Advanced (300)

Sally Dabbah Sally Dabbah

In this session, we will delve into building robust ETL (Extract, Transform, Load) pipelines using Microsoft Fabric. This demonstration aims to enhance our data insights by leveraging powerful features of Microsoft Fabric. Throughout the session, participants will explore the full capabilities of Microsoft Fabric, focusing on: Workspace: Setting up collaborative environments for efficient data management. Lakehouse and Warehouse: Constructing the Medallion architecture for unified data storage and processing. Data Flow Gen2: Designing scalable and efficient data processing workflows. Pipelines: Automating the flow of data from source to destination. Notebooks: Using interactive notebooks for exploratory data analysis and pipeline development. SQL Endpoints: Integrating structured query capabilities for advanced data manipulation. Datasets: Organizing and managing data assets for streamlined access and analysis. PowerBI Reports: Visualizing insights through interactive and insightful reports. Data Agents: As a new frontier in self-service analytics, Microsoft Fabric Data Agents empower users to interact with data through natural language no need for SQL, DAX, or KQL. Built on Azure OpenAI, Data Agents bridge the gap between business users and complex data models by transforming everyday questions into optimized queries across lakehouses, warehouses, and Power BI datasets. In this session, we’ll explore how to configure Data Agents, define intent-driven instructions, and govern access to trusted datasets—unlocking fast, intuitive, and secure access to insights for everyone in your organization. By the end of the session, attendees will have gained practical experience in harnessing these features to build resilient ETL pipelines, empowering them to extract maximum value from their data resources.

The Admin’s Guide to the Microsoft Fabric Multiverse

Intermediate (200)

Kathrin Borchert Kathrin Borchert

Being a Fabric admin isn't about paperwork — it's about navigating a dungeon full of settings, security traps, and governance side quests. In this session, we’ll explore the admin portal like a campaign map, uncover hidden features, and share tips for surviving (and thriving) in the world of Fabric administration. From API spells to Excel scrolls, join the party and level up your admin game — no +1 required. And always remember "Don't Panic I'm Admin" 😉