Microsoft Fabric Analytics Implementation Course

Name: Microsoft Fabric Analytics Implementation Training Course
Availability: InStock

Build and operate Fabric analytics from OneLake ingestion and modeling through Power BI, security, monitoring, and deployment.

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 €

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Microsoft Fabric Analytics Implementation Training Course

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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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Showing 1-20 of 74 events

Location	Dates	Duration	Mode	Price
Istanbul	Week 43, 2026 19 – 30 October 2026	2 Weeks	Onsite	€8,500
Amsterdam	Week 45, 2026 2 – 13 November 2026	2 Weeks	Onsite	€10,000
Kuala Lumpur	Week 46, 2026 9 – 20 November 2026	2 Weeks	Onsite	€9,000
Prague	Week 46, 2026 9 – 20 November 2026	2 Weeks	Onsite	€10,000
Bali	Week 46, 2026 15 – 26 November 2026	2 Weeks	Onsite	€10,000
Dubai	Week 47, 2026 16 – 27 November 2026	2 Weeks	Onsite	€8,500
Zanzibar	Week 47, 2026 22 November – 3 December 2026	2 Weeks	Onsite	€9,000
Milan	Week 48, 2026 23 November – 4 December 2026	2 Weeks	Onsite	€10,000
Nice	Week 49, 2026 30 November – 11 December 2026	2 Weeks	Onsite	€10,000
Abu Dhabi	Week 50, 2026 7 – 18 December 2026	2 Weeks	Onsite	€8,000
Kuwait	Week 50, 2026 13 – 24 December 2026	2 Weeks	Onsite	€11,000
Marbella	Week 51, 2026 20 – 31 December 2026	2 Weeks	Onsite	€10,000
Tokyo	Week 52, 2026 21 December 2026 – 1 January 2027	2 Weeks	Onsite	€15,000
Johannesburg	Week 52, 2026 27 December 2026 – 7 January 2027	2 Weeks	Onsite	€6,400
Vienna	Week 53, 2026 28 December 2026 – 8 January 2027	2 Weeks	Onsite	€10,000
Sharm El-Sheikh	Week 01, 2027 4 – 15 January 2027	2 Weeks	Onsite	€7,000
London	Week 02, 2027 11 – 22 January 2027	2 Weeks	Onsite	€10,000
Barcelona	Week 03, 2027 18 – 29 January 2027	2 Weeks	Onsite	€10,000
Abu Dhabi	Week 03, 2027 18 – 29 January 2027	2 Weeks	Onsite	€8,000
Doha	Week 04, 2027 31 January – 11 February 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.

Microsoft Fabric Analytics Implementation Course