Completed
- Data engineering and notebooks
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Classroom Contents
Microsoft Fabric Overview - Features, Benefits, and Use Cases
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- 1 - Introduction
- 2 - Data in an organization today
- 3 - Microsoft Fabric introduction
- 4 - OneLake
- 5 - Fabric capacity
- 6 - Burst and smoothing
- 7 - Workspaces
- 8 - Tools and engines
- 9 - Delta Parquet format
- 10 - V-ordering
- 11 - Iceburg support
- 12 - ADLSGen2 API access
- 13 - Key benefits
- 14 - Lakehouse
- 15 - Shortcuts
- 16 - Mirroring
- 17 - External data sharing
- 18 - Warehouse
- 19 - Benefits of warehouse
- 20 - Lakehouse or warehouse
- 21 - Workload use
- 22 - Data engineering and notebooks
- 23 - High concurrency
- 24 - Data scientists
- 25 - Power BI
- 26 - OneLake integration
- 27 - Copilots and AI
- 28 - Microsoft Purview integration
- 29 - Roadmap
- 30 - Summary
- 31 - Close
