Microsoft Fabric Analytics Implementation Course
At a glance
- Duration
- 2 Weeks
- Format
- Classroom
- Cities
- Istanbul, Amsterdam, Kuala Lumpur, Prague, Bali, Dubai and more
- Next session
- 19 – 30 October 2026, Istanbul
- Average fee
- 9,900 €
Overview
Microsoft Fabric Analytics Implementation Training Course is a two-week course for data analysts, analytics engineers, BI developers, platform specialists, and technical leads, who leave with a Fabric Analytics Implementation Portfolio. Participants design workspaces, choose OneLake storage patterns, build ingestion and transformation pipelines, implement lakehouse and warehouse models, create semantic models and reports, and establish security, monitoring, deployment, and governance controls. Agile Leaders Training Center develops Microsoft Fabric analytics implementation capability.
Who Should Attend
- Data analysis functions responsible for analytical models and decision-ready reporting
- Analytics engineering functions responsible for ingestion, transformation, and curated data
- Business intelligence functions responsible for semantic models and Power BI delivery
- Data platform functions responsible for Fabric workspaces, storage, security, and operations
- Technical leadership functions responsible for architecture, governance, and release decisions
The course assumes participants can work with relational data, basic SQL, and BI concepts, and leaves out certification preparation, advanced data science, tenant licensing, and custom software development.
Departments and Industries
The course supports departments and industries implementing shared analytics solutions on Microsoft Fabric.
- Data, analytics, business intelligence, and enterprise architecture
- Information technology, operations, finance, and performance management
- Healthcare, education, retail, and hospitality
- Manufacturing, transportation, utilities, and construction
- Financial services, telecommunications, technology, and professional services
Learning Objectives
By the end of this course, participants will be able to:
- Design Fabric workspaces, domains, and OneLake storage patterns
- Build ingestion, transformation, and orchestration workflows
- Implement lakehouse, warehouse, and dimensional models
- Develop semantic models, measures, and Power BI reports
- Apply security, monitoring, deployment, and governance controls
- Evaluate an end-to-end Fabric analytics implementation
Course Agenda
Day 1: Frame the Fabric Architecture
- Fabric Workload and Capability Map
- Analytics Requirement and Use-Case Canvas
- Tenant, Domain, and Workspace Structure
- Capacity and Workload Planning Checklist
- Implementation Architecture Decision Record
Day 2: Design OneLake Storage
- OneLake Logical Storage Model
- Lakehouse, Warehouse, and Eventhouse Decision Matrix
- Delta Table and File Organization Pattern
- OneLake Shortcut Design
- Data Ownership and Naming Standard
Day 3: Build Data Ingestion
- Data Source and Connectivity Inventory
- Data Factory Pipeline Architecture
- Copy Activity Configuration Pattern
- Dataflow Gen2 Ingestion Design
- Pipeline Parameter and Error-Handling Plan
Day 4: Transform and Curate Data
- Medallion Data Layer Design
- Notebook Transformation Workflow
- Spark and SQL Processing Selection Matrix
- Data Quality Rule Register
- Incremental Load and Refresh Pattern
Day 5: Implement the Lakehouse
- Lakehouse Table Management Method
- Delta Table Maintenance Plan
- SQL Analytics Endpoint Query Pattern
- Lakehouse Security and Access Matrix
- Curated Lakehouse Validation Checklist
Day 6: Implement the Warehouse
- Fabric Warehouse Architecture
- Dimensional Model Design Canvas
- Fact and Dimension Table Specification
- T-SQL Transformation Procedure
- Warehouse Performance Review Checklist
Day 7: Build Semantic Models
- Semantic Model Relationship Diagram
- Measure Definition and DAX Register
- Direct Lake Storage Mode Decision
- Row-Level Security Role Matrix
- Semantic Model Performance Checklist
Day 8: Deliver Power BI Analytics
- Report Audience and Decision Map
- Visual Selection and Interaction Matrix
- Power BI Report Navigation Design
- Accessibility and Usability Checklist
- Report Validation and Sign-Off Record
Day 9: Operate and Govern Fabric
- Workspace Access and Least-Privilege Matrix
- Monitoring Hub Operations Dashboard
- Pipeline Failure Triage Workflow
- Deployment Pipeline Stage Plan
- Fabric Governance and Lineage Review
Day 10: Practice Fabric Implementation
- Exercise: Design a Workspace and OneLake Pattern
- Exercise: Build an Ingestion and Transformation Flow
- Exercise: Model Lakehouse and Warehouse Data
- Exercise: Validate Security, Monitoring, and Deployment
- Capstone: Fabric Analytics Implementation Portfolio
Practical Exercises
The course uses suggested activities based on analytics delivery in healthcare, retail, manufacturing, and professional services.
- Suggested activity: translate an analytics need into workspace, capacity, storage, ownership, and architecture decisions.
- Suggested activity: configure an ingestion and transformation flow with parameters, validation, and error handling.
- Suggested activity: design dimensional and semantic models, measures, security roles, and report interactions.
- Suggested activity: assemble an implementation portfolio with monitoring, deployment, governance, and operational evidence.
FAQs
Who suits Microsoft Fabric analytics implementation training, and what does it assume?
Data analysis, analytics engineering, BI, platform, architecture, and technical leadership functions suit the training; it assumes experience with relational data, basic SQL, and BI concepts.
How does Microsoft Fabric analytics implementation differ from Power BI report training?
Microsoft Fabric analytics implementation spans storage, ingestion, transformation, lakehouse, warehouse, semantic models, security, operations, and deployment, while Power BI report training concentrates on analysis and presentation.
When should a Fabric solution use a lakehouse or warehouse?
A Fabric solution should choose based on data formats, engineering workflows, SQL requirements, governance, team skills, and consumption patterns, documenting the decision against the use case.
How does OneLake support Microsoft Fabric analytics?
OneLake provides shared logical storage across Fabric workloads, allowing governed data access and reuse while lakehouses, warehouses, and other items serve different analytical patterns.
How should a Microsoft Fabric analytics solution be deployed and monitored?
A Fabric solution should use controlled deployment stages, documented ownership, access rules, validation checks, monitoring evidence, failure triage, and release records appropriate to the organization.
Conclusion
Participants take back a Fabric Analytics Implementation Portfolio containing architecture decisions, workspace and storage designs, pipelines, transformation rules, analytical models, reports, security controls, monitoring, deployment, and governance evidence. It changes disconnected Fabric tasks into an implementation lifecycle. The portfolio supports design review, build, release, operation, and improvement.
credits: 5 credit per day
Course Mode: full-time
Provider: Agile Leaders Training Center
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Events for this Course
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Istanbul 19 – 30 October 2026
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Amsterdam 2 – 13 November 2026
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Kuala Lumpur 9 – 20 November 2026
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Prague 9 – 20 November 2026
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Bali 15 – 26 November 2026
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Dubai 16 – 27 November 2026
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Zanzibar 22 November – 3 December 2026
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Milan 23 November – 4 December 2026
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Nice 30 November – 11 December 2026
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Abu Dhabi 7 – 18 December 2026
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Kuwait 13 – 24 December 2026
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Marbella 20 – 31 December 2026
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Tokyo 21 December 2026 – 1 January 2027
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Johannesburg 27 December 2026 – 7 January 2027
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Vienna 28 December 2026 – 8 January 2027
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Sharm El-Sheikh 4 – 15 January 2027
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London 11 – 22 January 2027
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Barcelona 18 – 29 January 2027
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Abu Dhabi 18 – 29 January 2027
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Doha 31 January – 11 February 2027
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Paris 8 – 19 February 2027
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Singapore 8 – 19 February 2027
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Milan 22 February – 5 March 2027
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New York 22 February – 5 March 2027
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Langkawi 7 – 18 March 2027
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Amsterdam 8 – 19 March 2027
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London 15 – 26 March 2027
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Porto 15 – 26 March 2027
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Muscat 21 March – 1 April 2027
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Cairo 22 March – 2 April 2027
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Seoul 29 March – 9 April 2027
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Dubai 5 – 16 April 2027
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Abu Dhabi 5 – 16 April 2027
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Berlin 12 – 23 April 2027
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Istanbul 19 – 30 April 2027
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Frankfurt 19 – 30 April 2027
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Manama 25 April – 6 May 2027
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Vienna 26 April – 7 May 2027
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Madrid 3 – 14 May 2027
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Rome 10 – 21 May 2027
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Zoom 17 – 28 May 2027
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Lisbon 17 – 28 May 2027
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Chicago 23 May – 3 June 2027
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Paris 24 May – 4 June 2027
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Tashkent 30 May – 10 June 2027
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Dubai 31 May – 11 June 2027
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Toronto 6 – 17 June 2027
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Kuala Lumpur 7 – 18 June 2027
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Bangkok 13 – 24 June 2027
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Tbilisi 14 – 25 June 2027
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Trabzon 20 June – 1 July 2027
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Cairo 21 June – 2 July 2027
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San Diego 28 June – 9 July 2027
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Barcelona 5 – 16 July 2027
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Geneva 11 – 22 July 2027
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Cape town 18 – 29 July 2027
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Casablanca 19 – 30 July 2027
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Phuket 25 July – 5 August 2027
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Dubai 26 July – 6 August 2027
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Madrid 2 – 13 August 2027
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Munich 2 – 13 August 2027
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London 9 – 20 August 2027
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Accra 29 August – 9 September 2027
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Rome 30 August – 10 September 2027
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Amman 5 – 16 September 2027
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Jakarta 6 – 17 September 2027
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Amsterdam 13 – 24 September 2027
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Abu Dhabi 13 – 24 September 2027
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Nairobi 26 September – 7 October 2027
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Baku 4 – 15 October 2027
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Montreux 4 – 15 October 2027
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Manama 10 – 21 October 2027
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Athens 11 – 22 October 2027
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London 18 – 29 October 2027
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
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Munich |
Week 31, 2027 2 – 13 August 2027 |
2 Weeks | Onsite | €10,000 | |
|
|
London |
Week 32, 2027 9 – 20 August 2027 |
2 Weeks | Onsite | €10,000 | |
|
|
Accra |
Week 34, 2027 29 August – 9 September 2027 |
2 Weeks | Onsite | €5,800 | |
|
|
Rome |
Week 35, 2027 30 August – 10 September 2027 |
2 Weeks | Onsite | €10,000 | |
|
|
Amman |
Week 35, 2027 5 – 16 September 2027 |
2 Weeks | Onsite | €7,000 | |
|
|
Jakarta |
Week 36, 2027 6 – 17 September 2027 |
2 Weeks | Onsite | €10,000 | |
|
|
Amsterdam |
Week 37, 2027 13 – 24 September 2027 |
2 Weeks | Onsite | €10,000 | |
|
|
Abu Dhabi |
Week 37, 2027 13 – 24 September 2027 |
2 Weeks | Onsite | €8,000 | |
|
|
Nairobi |
Week 38, 2027 26 September – 7 October 2027 |
2 Weeks | Onsite | €6,400 | |
|
|
Baku |
Week 40, 2027 4 – 15 October 2027 |
2 Weeks | Onsite | €8,800 | |
|
|
Montreux |
Week 40, 2027 4 – 15 October 2027 |
2 Weeks | Onsite | €15,000 | |
|
|
Manama |
Week 40, 2027 10 – 21 October 2027 |
2 Weeks | Onsite | €8,000 | |
|
|
Athens |
Week 41, 2027 11 – 22 October 2027 |
2 Weeks | Onsite | €13,400 | |
|
|
London |
Week 42, 2027 18 – 29 October 2027 |
2 Weeks | Onsite | €10,000 |
Frequently asked questions
What does this course cover?
OverviewMicrosoft Fabric Analytics Implementation Training Course is a two-week course for data analysts, analytics engineers, BI developers, platform specialists, and technical leads, who leave with a Fabric Analytics Implementation Portfolio. Participants design workspaces, choose OneLake storage patterns, build ingestion and transformation pipelines, i…
Are training dates available?
Yes. Available dates and destinations are listed in the course dates section on this page.
How can I register?
Choose an available date on this page and complete the registration form, or send a programme enquiry.
Can I download the course brochure?
Yes. Use the brochure download link provided on this page.
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