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Fabric Foundations
Course Introduction
Welcome to the Course (1:01)
Lab Resources
Evolution of Microsoft Fabric
Module Introduction (0:34)
What Came Before (13:13)
The Unified Data Platform (7:52)
SaaS vs PaaS (6:26)
Introducing Fabric (12:59)
Working in Fabric (6:32)
LAB: Getting Set Up (0:34)
Module Summary (0:37)
All Your Data in OneLake
Module Introduction (0:27)
What is OneLake (5:26)
Parquet and Delta (4:24)
Using Delta (4:14)
Shortcuts (5:04)
Mirroring (7:30)
LAB: Working with OneLake (0:06)
Module Summary (1:49)
Data Integration in Fabric
Module Introduction (0:32)
Data Factory Concepts (4:53)
Ingest and Transform Data with Dataflows Gen2 (8:19)
Ingest Data with Data Factory Pipelines (7:34)
Connections (3:52)
LAB: Integrating Data in Fabric (0:27)
Module Summary (1:40)
Data Engineering in Fabric
Module Introduction (0:39)
Overview of Data Engineering (3:08)
Data Engineering Items (4:23)
Working with Lakehouses (14:38)
Spark (4:33)
Performance Tuning (4:23)
LAB: Data Engineering in Fabric (0:15)
Real Time Intelligence (22:11)
LAB: Real Time Intelligence (0:15)
Module Summary (2:24)
Data Warehousing in Fabric
Module Introduction (0:18)
Data Warehousing Concepts (12:21)
Data Processing (16:35)
Modelling Data (9:28)
LAB: Fabric Data Warehousing (0:18)
Module Summary (1:03)
Getting Started with Power BI in Fabric
Module Introduction (1:14)
Power BI Introduction (7:56)
Semantic Models (13:27)
Reports & Dashboards (12:59)
Storage Modes (6:59)
Sharing & Distributing (8:32)
LAB: Fabric Power BI (1:56)
Module Summary (1:29)
Development Approaches in Fabric
Module Introduction (0:42)
Source Control (11:04)
Deployment Pipelines (5:03)
Lifecycle Management (8:26)
Development Tools (3:52)
LAB: Development Approaches (0:30)
Module Summary (1:20)
Course Summary
Further Learning
Ingest Data with Data Factory Pipelines
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