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Microsoft Fabric in a Day

11/06/2025 • 09:00 - 17:00 (GMT+02:00) • Online
Language: EnglishSpeakers: Christine Portelli, Isaac Zammit
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Topics

Data & AI
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Partner

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Description

Data is the foundation of every decision. But when it’s scattered across multiple sources and platforms, extracting meaningful insights can feel impossible.

Microsoft Fabric is an end-to-end analytics platform. Unifying all the data and analytics tools that organisations need to go from the data lake to the business user, Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified product, empowering data and business professionals alike to unlock the potential of their data and lay the foundation for the era of AI.

Together with Microsoft, we are organising Fabric Analyst in a Day. This is a free, hands-on online workshop designed for Power BI Data Analysts. You’ll learn how to unify, transform, and visualise data. By breaking down data silos and simplifying analytics, Fabric helps organisations make faster, smarter decisions while reducing costs and improving efficiency.

𝗪𝗵𝗮𝘁 𝗬𝗼𝘂’𝗹𝗹 𝗟𝗲𝗮𝗿𝗻:

• Unify your data in OneLake to create a single source of truth • Build rich, AI-powered reports with Power BI • Use Copilot in Fabric to streamline workflows and enhance decision-making • Optimise data management while reducing costs and complexity

𝗪𝗵𝗮𝘁 𝗪𝗲’𝗹𝗹 𝗖𝗼𝘃𝗲𝗿:

• Microsoft Fabric • OneLake • Data engineering, Data Factory & Data Warehouse • Power BI • Forecast Model Demo • Data Activator Demo • Next steps & resources

You’ll get a full, end-to-end view of Fabric - from data ingestion to report building - so you can see exactly how it fits into your business and workflow.

𝗪𝗵𝗼 𝗦𝗵𝗼𝘂𝗹𝗱 𝗔𝘁𝘁𝗲𝗻𝗱?

This workshop is designed for Power BI Data Analysts who are experienced in Power BI but new to Microsoft Fabric. Whether you’re exploring how Fabric can support your organisation’s analytics needs or looking to optimise your existing workflow, this session will give you practical, real-world insights.