Program Outline
Microsoft Fabric: End-to-End Analytics
Microsoft Fabric consolidates data engineering, data science, real-time analytics, and BI into a single platform. This program walks teams through the complete Fabric architecture with labs in every session, from workspace provisioning through a live Power BI report on a Fabric semantic model.
Delivery
Virtual or On-site
Duration
3 days
Best Fit
Audience Profile
Who This Program Is For
Data engineers, BI developers, and analytics architects adopting Microsoft Fabric
Overview
Program Summary
Learn the full Microsoft Fabric architecture: Lakehouse, Warehouse, Data Factory, and Power BI, with hands-on labs throughout.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Microsoft Fabric Architecture
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Module 1
Microsoft Fabric Architecture
Understand the unified Fabric platform components, provision workspaces, and configure integration between Lakehouse, Warehouse, and BI workloads.
- Understand the unified Fabric platform components
- provision workspaces
- and configure integration between Lakehouse
- and BI workloads
2Module 2
Fabric Lakehouse and OneLake
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Module 2
Fabric Lakehouse and OneLake
Design and manage lakehouses, configure OneLake storage, and apply Delta Lake table formats for analytics-ready data.
- manage lakehouses
- configure OneLake storage
- and apply Delta Lake table formats for analytics-ready data
3Module 3
Data Factory Pipelines
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Module 3
Data Factory Pipelines
Build ingestion and transformation pipelines within Microsoft Fabric Data Factory for batch and incremental data delivery.
- Build ingestion
- transformation pipelines within Microsoft Fabric Data Factory for batch
- incremental data delivery
4Module 4
Real-Time Analytics with KQL
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Module 4
Real-Time Analytics with KQL
Query and analyze streaming and event data using KQL in Fabric Real-Time Intelligence for operational and near-real-time reporting.
- analyze streaming
- event data using KQL in Fabric Real-Time Intelligence for operational
- near-real-time reporting
5Module 5
Power BI Semantic Models
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Module 5
Power BI Semantic Models
Build and consume Power BI reports backed by Fabric semantic models, applying best practices for business reporting and self-service analytics.
- consume Power BI reports backed by Fabric semantic models
- applying best practices for business reporting
- self-service analytics
Coverage Areas
Topic Coverage
Coverage Item 1
Microsoft Fabric architecture and workspace setup
Coverage Item 2
Fabric Lakehouse and OneLake storage management
Coverage Item 3
Data Factory pipelines for ingestion and transformation
Coverage Item 4
Real-Time Analytics with KQL
Coverage Item 5
Power BI semantic models and enterprise reporting
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Emphasize Data Engineering or BI track based on team makeup
- •Add OneLake governance and workspace access control
- •Include migration path from Azure Synapse or Power BI Premium
