Unified Data Intelligence with
Microsoft Fabric
Microsoft Fabric unifies data engineering, warehousing, real-time analytics, and Power BI on OneLake, replacing fragmented analytics stacks with a connected data foundation. TechnoRUCS implements Fabric architectures that help organisations build trusted insights, improve enterprise-wide data accessibility, and prepare their data for AI adoption.
Results from Microsoft 365 Projects
What is Microsoft Fabric?
Microsoft Fabric is an end-to-end data and analytics platform that combines data integration, engineering, warehousing, real-time analytics, and Power BI on OneLake. It enables organisations to connect diverse data sources, eliminate silos, simplify analytics workflows, and deliver trusted, accessible insights from a unified data foundation that supports reporting, decision-making, and AI initiatives.
Six services across
the full Fabric implementation
TechnoRUCS implements Microsoft Fabric from architecture design through live reporting, each layer configured to your data sources, business logic, and governance requirements, not a generic lakehouse template.
Data Platform Architecture Design
Plan OneLake structures, workspaces, medallion layers, workloads, and capacity requirements to build a scalable, governed Fabric architecture that supports reporting, analytics, and future AI initiatives.
Data Ingestion and
Integration
Build Fabric pipelines and dataflows that connect databases, ERP systems, applications, and files to OneLake, with monitoring, lineage, and error handling for reliable enterprise data ingestion.
Data Transformation and Modelling
Implement Fabric medallion architecture to transform raw data into validated business models through cleansing, standardisation, enrichment, and governance, creating trusted datasets for analytics and AI workloads.
Data Warehouse and Analytics Setup
Configure Fabric warehouses, semantic models, Direct Lake architecture, and performance optimisation to deliver consistent business metrics, faster queries, and scalable analytics for SQL and Power BI users.
Power BI and Reporting Enablement
Build Power BI dashboards on Fabric datasets with validated metrics, secure access controls, real-time reporting, and intuitive visualisations that enable reliable insights and confident business decision-making.
Security
Governance
Implement Microsoft Purview, governance policies, access controls, lineage tracking, auditing, and certified datasets to strengthen data security, compliance, quality, and trust across analytics and AI workloads.
From architecture design to
live analytics in four phases
Data Discovery and Architecture Design - Phase 01
Environment Setup and Ingestion Build - Phase 02
We provision the Fabric environment, configure workspaces, lakehouses, and warehouses, then build secure ingestion pipelines from your source systems. Monitoring, validation, and error handling are implemented early to establish a reliable foundation for data transformation.
Transformation, Modelling, and Governance - Phase 03
Power BI Delivery and User Enablement - Phase 04
Microsoft Fabric in action
How AEH modernised its Power BI data architecture
TechnoRUCS helped AEH modernise its Power BI architecture using Microsoft Fabric Data Pipelines, a centralised Fabric Warehouse, and a Semantic Model, reducing direct Salesforce data extraction while improving data modelling, reporting performance, scalability, reliability, and access to consistent business insights.
Frequently Asked Questions
Fabric is Microsoft’s unified data and analytics platform that combines data integration, engineering, warehousing, real-time analytics, and Power BI on OneLake, allowing every workload to use the same governed enterprise data.
OneLake is Fabric’s unified storage layer where every workload accesses the same data without duplication. It simplifies data management, removes unnecessary movement between tools, and creates a consistent foundation for analytics and AI.
TechnoRUCS designs Fabric architecture, configures workspaces, lakehouses, warehouses, ingestion pipelines, medallion layers, semantic models, Power BI reporting, and Purview governance to deliver a secure, scalable enterprise data platform.
Targeted Fabric implementations usually take 6–12 weeks, while enterprise-scale deployments spanning multiple data domains, governance, integrations, and reporting workloads typically require 3–6 months following architecture planning.
Ready to Consolidate Your Data Platform on Microsoft Fabric?
