DP-600: Microsoft Fabric Full Course (6+ hours) with Real-World COVID-19 Project

Описание: Unlock the full potential of Microsoft Fabric with this comprehensive end-to-end course!

This bundled video covers all aspects of data analytics, from data ingestion and transformation to building powerful semantic models and conducting exploratory analysis. Using a real-world COVID-19 dataset, we explore key features of Microsoft Fabric, such as lake houses, Delta tables, Dataflows Gen2, semantic modeling, DAX optimization, and more.

Important Update for Students:

We’ve heard your feedback about the limitations of Google Classroom, and we’re excited to announce that we’ve moved to a dedicated learning platform to enhance your learning experience.

📚 Enroll in our Microsoft Fabric Free Course now: https://learn.datavionsolutions.com/l...

Here’s why you’ll love it:
✅ Same content from YouTube, now organized into a structured course for easier navigation.
✅ Downloadable resources available with each lesson to reinforce your learning.
✅ Track your progress as you move through the course, so you always know where you left off.
Make the switch today and continue your learning journey with ease!

Great news—our “From Foundations to Fabric Power” course bundle is now LIVE!

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Whether you are preparing for the DP600 exam or looking to upskill in data analytics, this course equips you with hands-on experience and best practices. Dive in and start your journey to mastering Microsoft Fabric today!

00:00 Chapter 1: Course Introduction and structure
17:29 Chapter 2: Building a scalable data analytics environment
01:13:02 Chapter 3: Manage the analytics development lifecycle
01:50:27 Chapter 4: Shortcuts and Data Ingestion in to lake house or warehouse
02:44:02 Chapter 5: Transform Data and Implement Star Schema
03:52:14 Chapter 6: Monitoring and Performance Optimization
04:41:51 Chapter 7: Design and build semantic models
05:29:17 Chapter 8: Secure and Optimize Enterprise scale Semantic models
06:10:43 Chapter 9: Perform EDA and Query Data using T-SQL

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