🚀 DP-600 Prep Series – Session 1: Intro to Microsoft Fabric

📅 Monday, December 8th | 🕒 Online Event | 🎤 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.

## 📚 What we’ll cover in Session 1

## 1️⃣ Intro to Microsoft Fabric

A guided overview of the Fabric ecosystem, key experiences, and how everything fits together — in a way that finally makes sense.

### 2️⃣ Get Started with Lakehouses

How Lakehouses work in Fabric, why they matter, and how they serve as the backbone for analytics workloads.

### 3️⃣ Ingest Data with Dataflows Gen2

Hands-on concepts around building ingestion processes, managing transformations, and preparing data for further engineering.

### 4️⃣ Orchestrate Processes with Data Factory Pipelines

Build reliable, automated movement and transformation processes using Fabric Data Factory.

### 5️⃣ Use Spark in Fabric

Understand when, why, and how Spark fits into your end-to-end architecture — with practical examples relevant for the exam.

## 🎯 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

## 🔔 Call to Action

👉 RSVP now to secure your spot!
👉 Share this event with colleagues, friends, and anyone looking to grow their Microsoft Fabric skills.
Let’s build the strongest, most collaborative Fabric study community together!

🎓 Get your exam discount voucher
Microsoft is offering limited DP-600 exam vouchers. Request yours here:
👉 https://community.fabric.microsoft.com/t5/custom/page/page-id/campaign_form?campaignID=Q0FNUEFJR05fMTc2MTE4OTgxNTQwMg==