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

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Nov 12, 2026

Online workshop | Nov 12, 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
–
Nov 12, 2026
Target Group
Data engineers, data architects, platform owners
Costs
free
Event Language
English

Introduction to b.telligent
(15 min)
Microsoft Fabric at a Glance: Architecture, Key Components, and Use Cases
(25 min)
Introduction to the MyFabric Workshop: Initial Scenario, Target Architecture, and Data Sources
(15 min)
Implementation of a Lakehouse Scenario Using Mirroring and Traditional Pipelines
(70 min)
Demonstration of Data Transformation with Data Flow Gen2 and Spark Notebooks
(35 min)
Creating and Using a Data Agent
(15 min)
Conclusion (5 min)



