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Fabric Platform Build

Complete platform implementation from architecture to production-ready environment

Building a Microsoft Fabric platform is more than infrastructure setup. It's about creating a unified data environment that empowers your teams, scales with your organisation, and integrates seamlessly with your existing systems. With 15+ years across the Microsoft data stack and early access to Fabric during its private preview, I bring battle-tested patterns and proven approaches to your platform build.

What's Included

Build a complete Microsoft Fabric platform with expert guidance. OneLake architecture, data pipelines, semantic models, and governance from an experienced MVP.

How We Work Together

Phase 1: Discovery & Planning (1-2 weeks)
  • Stakeholder workshops to understand business requirements

  • Current state assessment of data landscape

  • Define success criteria and KPIs

  • Architecture design and technical specification

  • Project plan and timeline finalisation

Phase 2: Foundation Build (2-3 weeks)
  • Fabric workspace and capacity setup

  • Governance framework implementation

  • Security model configuration

  • Source system integration

  • Initial pipeline development

Phase 3: Development & Integration (4-6 weeks)
  • ​​​Lakehouse architecture implementation

  • Data pipeline build-out and orchestration

  • Semantic model development

  • Power BI report creation

  • Testing and validation

Phase 4: Enablement & Handover (1-2 weeks)
  • ​​​Team training sessions

  • Documentation delivery

  • Knowledge transfer workshops

  • Go-live support

  • Post-implementation review

Timeline & Engagement

Typical Duration: 8-12 weeks, depending on scope and complexity

Engagement Model: Fixed-scope project with defined deliverables

What Affects Timeline:

  • Number of data sources and integration complexity

  • Existing infrastructure and technical debt

  • Team availability for workshops and reviews

  • Governance requirements and approval processes

 

Getting Started:
We begin with a no-obligation consultation to understand your needs and provide a detailed proposal with a timeline and investment.

Is This Right for Your Organisation?

This service works best for organisations that:

✓ Are ready to move to a modern, unified data platform

✓ Have multiple data sources that need consolidation

✓ Want to enable self-service analytics across teams

✓ Need governance and security built in from day one

✓ Have executive buy-in for platform transformation

✓ Can dedicate resources for workshops and knowledge transfer

This might not be the right fit if:

✗ You're looking for a quick proof of concept (consider POCs & Assessments instead)

✗ You need only report development (consider Power BI Transformation)

✗ You're still evaluating whether Fabric is right for you (start with a POC)

Why Choose Me

Early Fabric Expertise

​I've worked with Microsoft Fabric since its private preview phase at Avanade, giving me deep understanding of its architecture and evolution from traditional BI and Azure platforms.

Design-First Philosophy

Your platform won't just be technically sound - it will be intuitive for end users. I prioritise user experience alongside architecture.

Deep Microsoft Data Platform Experience

Fifteen years building enterprise data platforms with Microsoft technologies - traditional business intelligence, Azure data services, and Power BI. As a Microsoft MVP and Fabric go-to-market lead at Avanade during private preview, I gained early access to how it unifies everything I'd been building separately. I understand what Fabric evolved from and how to bridge your current state to its full potential.

End-to-End Delivery

You get one person accountable for the entire platform, not a team of consultants with varying expertise levels.

Community-Informed

As founder of the London Microsoft Fabric User Group, I bring insights from hundreds of implementations to your project.

Ready to Build Your Fabric Platform?

Let's discuss your data landscape and how a Fabric platform can transform how your organisation works with data.

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