The World of Data
Experience the data event of the year!

–
Oct 22, 2026

Online workshop | Oct 22, 2026 | 9:00 AM
This workshop provides a structured end-to-end introduction to the capabilities of Microsoft Fabric for data engineering and modern lakehouse scenarios. Using a practical scenario, participants will see how data from different sources can be integrated, organized within a medallion architecture, and processed using a range of Fabric components. The workshop focuses on data integration with Fabric Data Factory and Mirroring, as well as data transformation using Data Flow Gen2 and Spark Notebooks. In addition, it demonstrates how prepared data can be made accessible for business-related questions using Data Agents.
The workshop is aimed at data professionals, data engineers, data architects, and IT decision-makers who want to gain a practical first overview of how Microsoft Fabric can serve as a central platform for integrating and processing data from heterogeneous environments. The content is delivered through live demonstrations, conceptual explanations, and selected practical exercises. Participants will gain insights into different approaches to data integration and transformation, as well as into the possibilities for making data available across its entire lifecycle.
Instructions, sample scripts, and live support will be provided throughout the workshop. The demonstrated scenarios can be followed in a prepared Fabric environment.
Key characteristics:
Prerequisites:
Own Fabric capacity in the customer tenant; basic data engineering knowledge
Address
online
Date
–
Oct 22, 2026
Target Group
Dateningenieure, Datenarchitekten, Plattformverantwortliche
Costs
free
Event Language
German

Vorstellung b.telligent
(15 Min)
Microsoft Fabric im Überblick: Architektur, zentrale Komponenten und Einsatzmöglichkeiten
(25 Min)
Vorstellung des MyFabric Workshops: Ausgangsszenario, Zielbild und verwendete Datenquellen
(15 Min)
Umsetzung eines Lakehouse-Szenarios mit Mirroring und klassichen Pipelines
(70 Min)
Demonstration Datentransformation mit Data Flow Gen2 und Spark Notebooks
(35 Min)
Erstellung und Nutzung eines Data Agents
(15 Min)
Abschluss
(5 Min)



