Microsoft Fabric Essential
1. Introduction to Microsoft Fabric (1.5 hrs)
- What is Microsoft Fabric?
- Key components: OneLake, Workspaces, Lakehouse, Data Factory, Real-Time, Power BI
- Understanding the unified SaaS experience
- Navigating the Fabric portal
2. Workspaces, OneLake & Lakehouse (2.5 hrs)
- Creating and managing Workspaces
- Understanding OneLake and File Explorer
- Creating Lakehouse and Delta Tables
- Uploading, previewing, and exploring data
- Hands-on: Build your first Lakehouse
3. Data Ingestion & Pipelines using Data Factory (3 hrs)
- Ingesting data with Copy Data activities
- Creating Pipelines for scheduled ingestion
- Using Power Query (Dataflow Gen2)
- Medallion architecture (Bronze–Silver–Gold layers)
- Hands-on: Build an ingestion pipeline into Lakehouse
4. Power BI & Visualization Layer (3 hrs)
- Connecting Power BI to Lakehouse (Direct Lake & Import)
- Building reports from Lakehouse data
- Creating dashboards & story-driven visuals
- Publishing to workspaces, mobile access
- Hands-on: Build a sales dashboard using Fabric data
5. Real-Time, Governance & Copilot Overview (3 hrs)
- Real-Time Analytics (KQL & streaming ingestion)
- Overview of Fabric security & governance (roles, lineage, Purview integration)
- Introduction to Copilot in Fabric (AI assistance)
- Fabric licensing, capacities, and deployment
- Bonus: Demonstration or simulation of RTI or Copilot
Capstone (2 hrs built-in across modules)
- Final Walkthrough: End-to-End flow from ingest → Lakehouse → BI
- Q&A, Use Case Discussion, Next Steps in Learning
Learning Outcomes
- Dataflows
- Lakehouse model
- Pipelines
- Data Science
- Real-Time Analytics
Frequently Asked Questions
Yes. The course is designed to provide deep hands-on knowledge, best practices, and implementation skills across all Microsoft Fabric components, helping you transition into advanced roles like Fabric Solution Architect or Data Platform Engineer.
Absolutely! Each module includes structured labs, sandbox environments, and datasets from domains like retail, finance, and healthcare to simulate industry-grade data challenges.