November 25, 2024 | 10:30 - 11:30 AM (UTC) Coordinated Universal Time
Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!
November 25, 2024 | 10:30 - 11:30 AM (UTC) Coordinated Universal Time
Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!
November 25, 2024 | 10:30 - 11:30 AM (UTC) Coordinated Universal Time
LivestreamTopic: Modern Data and Analytics
Language: English
Microsoft Fabric is transforming the analytics landscape by offering a unified, comprehensive solution with capabilities in data engineering, integration, real-time analytics, and business intelligence all in one powerful package.
Join us as we dive into a complete Power BI project that demonstrates the full scope of Microsoft Fabric in real-world applications. Here’s what we’ll explore:
✅ Setting up a new Lakehouse in Microsoft Fabric
✅ Uploading tables from multiple sources with various integration methods
✅ Creating data models and calculations directly within the Lakehouse
✅ Building a Power BI report using the innovative DirectLake mode
Don’t miss this opportunity to see Microsoft Fabric in action and gain insights into end-to-end analytics like never before!
Learning Resources:
Speaker Bio: Rajendra Ongole
Rajendra is currently working as a BI Lead Specialist within the Engineering and Tech Lead Team at Bosch. He is Holding more than 8 certifications from Microsoft, such as Microsoft Certified Fabric Analytics Engineer, Power BI Analyst, and Microsoft Certified Trainer. He has shared insights in Power Platforms forums through sessions, and He contributes through blogging
Social Handle of the speaker: https://www.linkedin.com/in/rajendra-ongole/
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Format:
Livestream
Topic: Data and Analytics
Language: English
Format:
Livestream
Topic: Data and Analytics
Language: English
Format:
Livestream
Topic: Data and Analytics
Language: English