Register today for a full-day, instructor-led workshop designed to help you master Microsoft Fabric — the all-in-one analytics platform that unifies your data engineering, data science, real-time intelligence, and business intelligence into a single, integrated experience.
Fabric Analyst in a Day is an intermediate-level training tailored for Power BI Data Analysts who are experienced with Power BI but new to Microsoft Fabric.
Delivered by Data-Driven AI, a Microsoft Solutions Partner and Fabric Featured Partner, this hands-on session will guide you through the end-to-end process of unifying, transforming, and visualizing data with Microsoft Fabric.
During this interactive workshop, you will learn how to:
Identify business scenarios where Microsoft Fabric delivers maximum value
Leverage the integrated analytics capabilities of Fabric to improve productivity and collaboration
Unify and transform data from multiple sources using Shortcuts, Dataflows Gen2, and Pipelines
Build rich and insightful Power BI reports that drive impactful business decisions
By the end of this session, you’ll have practical experience using Microsoft Fabric to create a single source of truth for your data — enabling faster, more intelligent insights and laying the foundation for your organization’s AI-driven future.
Unify your data and analytics on a single, integrated platform that combines data engineering, data science, real-time analytics, and business intelligence—empowering faster insights and better decision-making.
After completing this workshop, you will:
This workshop is designed for:
As an Azure Data Engineer, Lucas is dedicated to transforming raw data into valuable business insights.With expertise in Azure data services and modern data architecture, he focuses on designing and implementing end-to-end data solutions that enable smarter analytics, better decisions, and continuous innovation.
As a Senior Data & AI Engineer, Anoop is passionate about harnessing the power of data and artificial intelligence to create intelligent business solutions.With extensive experience across data engineering, analytics, and AI integration, he focuses on building scalable systems that enable smarter decision-making and drive digital transformation.
