Microsoft technology

Microsoft Fabric, one data platform for the whole organisation

One data platform from integration to reporting — we deploy Microsoft Fabric so data teams and the business work from the same shared source of truth in OneLake.

Microsoft Fabric is a unified, SaaS-based data analytics platform, bringing together data integration, data engineering, real-time analytics, data science and Power BI reporting in one place. Every one of these services runs on a single, shared data store — OneLake — so data does not need to be copied between individual tools.

As a Microsoft Fabric implementation partner, we help you move from fragmented analytics tools and multiple copies of the same data to one managed platform — with a data model in OneLake, Power BI reports reading data directly from the shared store, and capacity matched to your team's real workloads.

What Microsoft Fabric is

Integration, analytics and reporting in one place

Microsoft Fabric brings together data integration, data engineering, real-time analytics and reporting in one SaaS platform, built on a shared data store called OneLake.

OneLake — one copy of your data

A shared data store for the whole organisation, available to every Fabric service without copying data between systems.

Data integration and engineering

Data pipelines (Data Factory) and Spark-based processing merge data from scattered sources into one managed model.

Real-time analytics

Event streams and alerts (Real-Time Intelligence, Data Activator) for monitoring processes as they happen, not just after the fact.

Native Power BI integration

Reports read data directly from OneLake (DirectLake), without importing and duplicating data into the report model.

Who Microsoft Fabric works for

For data teams and IT

One platform instead of many licences and tools

One copy of data: OneLake removes duplicates between engineering, analytics and reporting silos
One capacity: shared compute capacity for every Fabric workload
Governance: data governance and permissions set once, for the whole platform

For business teams and analysts

Reports closer to the data source

Faster access: Power BI dashboards reading data from OneLake without waiting for an import refresh
Self-service: ready-made data models for further analysis without help from IT
Freshness: real-time data and alerts where the current situation matters, not just yesterday's report

1
Data environment analysis
We check where your data lives today, what tools the team uses, and which workloads gain the most from moving to Fabric.
2
Capacity and OneLake setup
We set up Fabric capacity and the OneLake structure as a shared data store for the chosen teams and workloads.
3
Data migration and integration
We move integration pipelines and data models from existing sources, removing unnecessary copies and duplicates.
4
Reporting and real-time analytics
We build Power BI dashboards in DirectLake mode and configure alerts for processes that need to be monitored as they happen.
5
Governance and growth
We set up roles, permissions and data governance, and train the team to develop further workloads on the platform on its own.

The result of working together

What you gain by deploying Microsoft Fabric with KTBnet

The platform alone does not remove data silos — that takes a properly designed OneLake structure and a migration that actually connects teams, not just another tool.

No more duplicates

One copy of data for the whole organisation

We bring data together in OneLake so engineering, analytics and reporting teams work from the same, current data.

Simpler licensing

One capacity instead of separate tools

We consolidate licences and compute capacity, instead of running separate tools for integration, analytics and reporting.

Faster reports

Power BI without importing and duplicating data

We configure reports in DirectLake mode so they read data directly from OneLake, without waiting for an import refresh.

Knowledge stays in-house

A team that develops the platform on its own

We train your people so the next workloads and data models can be built in-house on Fabric.

Build one data platform with KTBnet

Get in touch — we will identify the data area where Microsoft Fabric and OneLake pay off fastest and guide you through the whole rollout.