“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
VNode ITeSIntermediate
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.
Duration
3 days
Level
Intermediate
Format
Virtual or On-site
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
FAB
MF
On this page
Ideal for
Tailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Data engineers, BI developers, and analytics architects adopting Microsoft Fabric
Overview
Executive overview
Learn the full Microsoft Fabric architecture: Lakehouse, Warehouse, Data Factory, and Power BI, with hands-on labs throughout.
Readiness
Prerequisites
- SQL experience
- Familiarity with Power BI or data warehouse concepts
- Basic understanding of cloud storage
Program Outcomes
Capabilities your teams will gain
Configure and use Fabric Lakehouse and Warehouse for different workloads
Build ingestion and transformation pipelines with Fabric Data Factory
Query and analyze real-time data with KQL
Deliver Power BI reports backed by Fabric semantic models
Curriculum
Curriculum roadmap
1
Microsoft Fabric architecture and workspace setup
2
Fabric Lakehouse and OneLake storage management
3
Data Factory pipelines for ingestion and transformation
4
Real-Time Analytics with KQL
5
Power BI semantic models and enterprise reporting
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
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Accelerates team adoption of Microsoft Fabric's unified platform, reducing the risk and cost of a fragmented, multi-tool analytics stack.
- •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
Resources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
