Mastering Microsoft Fabric: Power BI Expert Reveals All

Welcome to our latest deep dive into data science! In this video, "Mastering Microsoft Fabric: Power BI Expert Reveals All," we embark on a journey through the cutting-edge world of Microsoft Fabric with renowned expert Nikola Illich, also known as DataMozart. Tune in to compare and contrast the new Direct Lake mode with traditional import and direct query modes, and discover the advantages and disadvantages of each.

Nikola will reveal specific applications and offer practical insights into leveraging Power BI skills within the multifaceted Microsoft Fabric ecosystem. Whether you're a seasoned data professional or just starting, this video is packed with invaluable knowledge that will empower you to keep exploring, keep learning, and stay ahead in the data analytics game.

Don't miss out on understanding the nuances of data science, machine learning, analytics, and how tools like Power BI, Python, and R integrate seamlessly with modern platforms. Plus, get the inside scoop on leveraging APIs like REST and SOAP in your data workflows.

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CHAPTERS:
00:00 - Intro
02:46 - Why Data Mozart
06:15 - What is Microsoft Fabric
11:45 - Power BI Professionals: Next Steps
12:48 - Power BI Architecture Pre-Fabric
18:38 - Direct Click: New Storage Mode in Power BI
22:41 - Lakehouse vs Warehouse in Microsoft Fabric
25:40 - Creating a New Lakehouse
29:15 - Developing a New Semantic Model
35:40 - Magic: How It Works
37:25 - Direct Lake: Refreshing Data
41:07 - Direct Lake: Key Concepts Explained
42:11 - Direct Lake: When It's Not Possible
43:25 - Direct Lake: Guardrails for Use
44:40 - Direct Lake: Limitations You Should Know
46:49 - Direct Lake: Benefits Overview
50:15 - Q&A Session
54:30 - Data Cleaning and Visualization Techniques
55:44 - Understanding ERD Diagrams
55:57 - Data Lineage Explained
57:15 - Moving from ADF to Fabric
59:38 - Eliminating Synapse ADB Costs with Spark
01:01:00 - Moving Source Data to Fabric for BI
01:02:40 - Optimizing Slow DAX Queries and Reports
01:04:20 - Best Job Sites for Data Roles in Europe