Microsoft Fabric ImplementationOne unified architecture for all your enterprise data.
Eliminate silos, lower computing bills, and query massive data instantly with Direct Lake mode. We design end-to-end OneLake landscapes, Medallion pipelines, and native Purview governance frameworks inside your tenant.
Say goodbye to fragmented cloud resources.
Traditionally, building data systems meant configuring separate servers for extraction, warehousing, data lakes, and visualization. Microsoft Fabric consolidates everything into a single SaaS platform. We help you transition to an optimized OneLake single source of truth, completely bypassing manual file handling, complex orchestration, and redundant multi-service billing layers.
Sound familiar?
- Data is fragmented across separate storage lakes, databases, and reporting silos
- Egress fees and data duplication run up massive cloud infrastructure bills
- Data engineers spend too much time managing infrastructure instead of building pipelines
- Analytics lag behind operations because real-time streaming isn't integrated
- Governing security, lineage, and compliance across 5+ disparate systems is impossible
- Power BI performance suffers from large datasets requiring complex refresh schedules
What is included
- Fabric tenant architecture configuration and capacity sizing
- Unified OneLake design with multi-domain access control
- Medallion-structured Lakehouse implementation (Delta format)
- Data Factory pipeline engineering and source integration
- Enterprise SQL Warehouse with star-schema optimizations
- Low-latency Real-Time Intelligence streams (KQL)
- Direct Lake semantic models for real-time Power BI reporting
- Data Activator automated alerting and operational workflows
- Microsoft Purview end-to-end data lineage configuration
- Operational governance blueprints and team technical enablement
The Microsoft Fabric Service Stack
Deploy modular structural workloads or establish a fully integrated end-to-end Fabric analytics estate.
Microsoft Fabric Implementation
End-to-end Fabric workspace design, provisioning, and enterprise deployment.
- Fabric tenant setup — capacity provisioning, workspace governance, and admin configuration
- One Lake architecture design — unified data lake with domain-level access zones
- Fabric SKU and capacity planning — F2 through F64 and Premium capacity alignment
- Migration from Azure Synapse, ADF, and standalone Azure services to unified Fabric
- Fabric security model — workspace roles, item permissions, and sensitivity labels
- Fabric trial-to-production transition planning and organisational rollout strategy
Fabric Lakehouse & Data Engineering
Bronze, Silver, and Gold Lakehouse design with Delta tables and scalable pipelines.
- Fabric Lakehouse creation with Delta Lake format and managed table design
- Medallion architecture (Bronze/Silver/Gold) build on OneLake
- Fabric Data Factory pipelines for ingestion, transformation, and orchestration
- Spark notebooks and dataflows for complex data transformation logic
- Shortcuts configuration — connecting ADLS Gen2, AWS S3, and GCS to OneLake
- Incremental load patterns, watermarking, and CDC implementation in Fabric
Fabric Data Warehouse
Enterprise-scale SQL analytics warehouse within the Microsoft Fabric platform.
- Fabric Warehouse provisioning, schema design, and T-SQL object creation
- Dimensional modelling — star schema fact and dimension tables for BI consumption
- Cross-database queries between Fabric Warehouse and Lakehouse tables
- Performance tuning — statistics, distribution strategies, and query optimisation
- Warehouse security — column-level security, dynamic data masking, and RLS
- Fabric Warehouse vs Lakehouse SQL endpoint decision framework and implementation
Fabric Real-Time Intelligence
Streaming data pipelines, Eventstream, and KQL databases for live operational analytics.
- Eventstream setup — ingestion from Event Hubs, Kafka, IoT Hub, and custom sources
- KQL database provisioning and table design for high-velocity time-series data
- Real-time dashboards in Fabric with auto-refresh and alert rule configuration
- Complex event processing — filtering, aggregation, and enrichment in Eventstream
- Real-Time Intelligence integration with Fabric Lakehouse for historical + live data
- Use cases: IoT telemetry, financial tick data, logistics tracking, and operational alerting
Fabric Power BI & Semantic Models
Native Power BI integration within Fabric — Direct Lake mode, certified datasets, and governed reporting.
- Direct Lake semantic model creation — query Lakehouse Delta tables at full speed
- Certified and promoted dataset governance within Fabric workspace
- Power BI report and dashboard development natively within Fabric
- Row-level security and object-level security on Fabric semantic models
- Deployment pipelines for dev, test, and production Power BI content management
- Fabric + Power BI Premium capacity consolidation and licence optimisation
Fabric Data Activator & Governance
Automated alerts, data activations, and Microsoft Purview governance across the Fabric estate.
- Data Activator rule design — trigger actions from data changes in real time
- Alert configuration connecting Fabric items to Teams, email, and Power Automate
- Microsoft Purview integration for Fabric — lineage, classification, and catalog
- Fabric tenant governance — workspace policies, capacity admin, and audit logging
- Sensitivity label propagation from Purview to Fabric Lakehouse and Warehouse
- Fabric readiness assessment and governance maturity roadmap for enterprise adoption
Logistics Corporation — OneLake Data Estate Modernisation
An enterprise logistics provider operating multi-region fleets consolidated 4 disconnected datawarehouses and legacy analytics servers onto Microsoft Fabric. By utilizing Data Factory loops and OneLake shortcuts, they bypass complex manual ETL tasks completely.
Who this is for
Industries Served
Target Roles
Implementation Timeline
Phased deployment per logical workspace module or capacity segment.
Deployment Model
Provisioned strictly inside your existing Microsoft enterprise boundary for total access and data custody control.
Ready to unify your cloud data architecture?
Connect with our structural data engineers for a 30-minute workspace review. We will map out your current systems, detail capacity SKU optimization paths, and present a low-risk migration blueprint.
Book a 30-minute conversation→