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π DP-600 Prep Series β Session 1: Intro to Microsoft Fabric
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π Monday\, December 8th \| π Online Event \| π€ Speaker: Ioannis Philippides Join us for the first session of our 4-part DP-600 preparation series, hosted as part of Fabric Data Days! This session lays the foundation for understanding Microsoft Fabric and the engineering components that are essential for both real-world workloads and the DP-600 exam. Whether you're just starting your Fabric journey or preparing seriously for certification, this session will give you a clear, practical, and hands-on starting point.
π What weβll cover in Session 1
1οΈβ£ Intro to Microsoft Fabric
A guided overview of the Fabric ecosystem, key experiences, and how everything fits together β in a way that finally makes sense.
2οΈβ£ Get Started with Lakehouses
How Lakehouses work in Fabric, why they matter, and how they serve as the backbone for analytics workloads.
3οΈβ£ Ingest Data with Dataflows Gen2
Hands-on concepts around building ingestion processes, managing transformations, and preparing data for further engineering.
4οΈβ£ Orchestrate Processes with Data Factory Pipelines
Build reliable, automated movement and transformation processes using Fabric Data Factory.
5οΈβ£ Use Spark in Fabric
Understand when, why, and how Spark fits into your end-to-end architecture β with practical examples relevant for the exam.
π― Who is this session for?
- Anyone preparing for DP-600
- Power BI professionals moving into Fabric
- Data engineers, analytics engineers, and advanced business analysts
- Anyone who wants a strong, structured entry into Fabric
π Call to Action
π RSVP now to secure your spot! π Share this event with colleagues, friends, and anyone looking to grow their Microsoft Fabric skills. Letβs build the strongest, most collaborative Fabric study community together!
π Get your exam discount voucher Microsoft is offering limited DP-600 exam vouchers. Request yours here: π https://community.fabric.microsoft.com/t5/custom/page/page-id/campaign_form?campaignID=Q0FNUEFJR05fMTc2MTE4OTgxNTQwMg==
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