Turn Microsoft Fabric into a reliable, governed data platform - delivering lakehouse/warehouse design, pipelines, semantic models, and operational controls that support real business outcomes.
Microsoft Fabric brings together data engineering, integration, warehousing, and analytics in a unified SaaS experience. That makes it attractive for organisations looking to modernise reporting and data workflows - especially where teams are currently split across spreadsheets, ad-hoc SQL databases, or fragmented ETL tools. The challenge is that “turning on Fabric” is not the same as having a usable data platform. Without clear architecture, governance, and repeatable delivery patterns, data products become fragile: pipelines break, datasets drift, costs become unpredictable, and business users lose trust in the outputs.
LW IT Solutions delivers Microsoft Fabric Services as a structured delivery engagement covering strategy, build, and operationalisation. We help you choose the right Fabric building blocks (for example lakehouse, warehouse, notebooks, data pipelines, and semantic models), implement a pragmatic environment structure, and create a delivery approach that your team can run long-term. Where required, we integrate Fabric with existing SQL, Power BI, and upstream systems, and we provide runbooks and governance so the platform remains supportable. Fabric capabilities evolve - so we validate the exact features relevant to your requirements and tenant configuration as part of discovery.
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Service Overview
Highlights
- Supports batch and event-driven ingestion patterns
- Clear separation of ingestion, transformation, and consumption layers
- Explicit error handling and re-run strategy designed in from the start
- Alignment to downstream models and reporting requirements
- Operational focus including monitoring, alerts, and runbooks
Business Benefits
- Improve reliability of data ingestion and transformation for reporting and analytics
- Reduce manual data preparation and spreadsheet-driven workflows
- Increase trust in data outputs through consistent transformations and validation checks
- Control pipeline costs and performance with clear design and scheduling
- Enable scale by establishing repeatable pipeline patterns your team can extend
Typical use cases
- Replacing manual data imports and spreadsheet-based reporting
- Ingesting data from SaaS platforms, databases, and file-based sources
- Building repeatable pipelines for a new analytics or reporting platform
- Stabilising fragile or failing existing ETL jobs
- Preparing data foundations for Power BI, Fabric, or warehouse consumption
Objectives & deliverables
What Success Looks Like
- Establish a modern data platform foundation with clear ownership and governance
- Deliver a first ‘data product’ end-to-end (ingest, transform, model, consume)
- Reduce manual reporting effort and improve trust through consistent definitions and lineage
- Implement operational controls: monitoring, runbooks, and predictable release practices
- Align platform build to measurable outcomes (time-to-insight, reliability, and stakeholder confidence)
What You Get
- Fabric architecture and environment design pack (documented)
- Implemented first data product within agreed scope (pipeline + model + consumption path)
- Access model and governance guidance (roles, approvals, and change control)
- Operational handover pack: runbooks and recommended monitoring approach
- Delivery backlog for the next waves of data products and platform maturity improvements
How It Works
- Discovery - confirm data sources, volumes, latency requirements, and downstream use cases
- Design - define ingestion patterns, transformation approach (ETL vs ELT), and orchestration model
- Build - implement pipelines using agreed tools and connectors with logging and error handling
- Validate - test data correctness, performance, and failure scenarios against acceptance criteria
- Operationalise - document runbooks, monitoring approach, and ownership for ongoing operation
Engagement Options
- Pipeline Design Only - architecture and standards for ETL/ELT pipelines
- Design + Build - design and implement pipelines for an agreed set of sources
- Ongoing Delivery - extend and optimise pipelines across multiple data products
Common Bundles
Customers who use this service often bundle with these services
ETL/ELT Pipeline Design & Delivery
Design and deliver reliable ETL and ELT pipelines with batch and event-driven ingestion, monitoring, and cost-aware performance tuning.
Data Strategy & Architecture
Define a clear data strategy and target architecture that aligns platforms, governance, security and cost with measurable business outcomes.
Power BI Dashboard Design & Integration
Power BI dashboard design and integration delivering trusted executive and operational reporting through strong data modelling, security and reliable refresh.
Fabric Governance, Security & Cost Control
Establish Microsoft Fabric governance with workspace strategy, role based access, auditing, environment separation, and cost controls for predictable operation.
Identity Governance (Access Reviews & Entitlements)
Implement identity governance with access reviews, entitlement management and lifecycle automation to control access duration, justification and audit evidence.
Frequently Asked Questions
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