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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 and prepare their data for AI adoption.
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Measured 365 Track Record

M365 Projects Delivered
80 +
Client Retention
50 %
Industries Served
0 +
Enterprise Clients
0 +

What is Microsoft Fabric?

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 helps organisations unify data sources, eliminate silos, and deliver trusted insights from a single data foundation.

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.

Foundation & workspace setup

Data Platform Architecture Design

Every successful Fabric implementation begins with a well-designed architecture. TechnoRUCS plans OneLake structure, workspaces, medallion layers, workload organisation, and capacity requirements to create a scalable, governed data platform that supports reporting, analytics, and future AI initiatives.
Pipelines & dataflows

Data Ingestion and
Integration

Reliable analytics depend on reliable data ingestion. We build Fabric pipelines and dataflows that connect databases, ERP systems, applications, and files into OneLake with monitoring, lineage, and error handling to deliver accurate, trusted, and production-ready enterprise data.
Bronze, Silver & Gold layers

Data Transformation and Modelling

Business reporting requires data that is clean, consistent, and trusted. We implement Fabric’s medallion architecture to transform raw data into validated business models through cleansing, standardisation, enrichment, and governance, creating reliable datasets for analytics and AI workloads.
Warehouse & semantic models

Data Warehouse and Analytics Setup

Governed data becomes valuable when users can analyse it confidently. TechnoRUCS configures Fabric warehouses, semantic models, Direct Lake architecture, and performance optimisation to deliver consistent metrics, faster queries, and scalable analytics for SQL users and Power BI reporting.
Dashboards & business metrics

Power BI and Reporting Enablement

Business users need insights they can trust without questioning the underlying data. We build Power BI dashboards on Fabric datasets with validated metrics, secure access controls, real-time reporting, and intuitive visualisations that support confident decision-making across the organisation.
Purview & data policies

Security
Governance

Enterprise data must remain secure, compliant, and easy to trust. We implement Microsoft Purview, governance policies, access controls, lineage tracking, auditing, and certified datasets that improve data quality, strengthen compliance, and support analytics and AI across the business.

From architecture design to
live analytics in four phases

Every Fabric implementation begins with architecture, because Fabric’s configuration decisions, made early, determine whether the platform consolidates your data stack or replicates the fragmentation it was meant to replace.

Data Discovery and Architecture Design - Phase 01

We assess your existing data landscape, reporting requirements, governance needs, and analytics objectives to design a Fabric architecture. The blueprint defines workspaces, OneLake organisation, medallion layers, workloads, and capacity planning before implementation begins.

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

We implement Bronze, Silver, and Gold transformation layers, build semantic models and warehouse structures, and configure Microsoft Purview governance. Data quality, security, lineage, and access controls are applied throughout the platform to deliver trusted analytics.

Power BI Delivery and User Enablement - Phase 04

We develop Power BI dashboards using governed Fabric datasets, validate business metrics, and provide role-based user onboarding. Post-launch support includes dashboard enhancements, pipeline monitoring, performance optimisation, and expansion into additional reporting and analytics workloads.

Microsoft Fabric in action

Data Architecture · Microsoft Fabric

How AEH modernised its Power BI data architecture

AEH needed to reduce the strain caused by direct Salesforce-to-Power BI data extraction while improving data modelling and reporting performance. TechnoRUCS implemented Microsoft Fabric Data Pipelines, a centralized Fabric Warehouse, and a Semantic Model to create a single source of truth and deliver more reliable, scalable Power BI reporting.

View the case study

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?

Whether you’re implementing Fabric, replacing fragmented analytics tools, modernising your data platform, or preparing for AI, TechnoRUCS delivers architecture-led implementations built for scalable, governed analytics.
Book a Fabric Consultation