Microsoft Fabric – The End-to-End Data Platform for Analytics, AI and Self-Service in the Cloud
A cloud-native SaaS platform that unifies data integration, storage, processing and analytics in one environment, from ETL to BI, with OneLake as the central storage layer and AI-powered capabilities through Copilot.
Microsoft Fabric is a SaaS-based end-to-end data platform within the Microsoft Cloud that brings together key Azure tools such as Power BI, Data Factory, Synapse, Purview and Azure Machine Learning. It provides a unified environment for the entire data value chain, from integration and analytics to AI and governance.
All workloads in one platform
Data Engineering: integration, transformation and orchestration of data pipelines
Data Science & Machine Learning: model training, deployment and analysis with Azure ML
Business Intelligence (BI): self-service analytics, dashboards and visualisations in Power BI
Data Warehousing & Lakehouse: SQL and lakehouse workloads with OneLake as the central storage layer
Real-Time Analytics: streaming, event processing and real-time analysis
Data Governance: automated lineage, classification and access control with Purview
Microsoft Fabric brings together all key Azure data services in one scalable, secure and AI-powered platform. The result is a fully connected, modern data environment that enables analytics, self-service and automation.
How We Support You with Microsoft Fabric
As experts in Microsoft Cloud Services, we help you design, migrate and optimise your end-to-end data platform in Microsoft Fabric.
Architecture and Migration Planning
We design scalable Microsoft Fabric architectures and guide the migration of existing Azure or Power BI environments to ensure seamless, future-ready integration within the Microsoft Cloud Services.
Implementation of ELT Pipelines
We build high-performance ELT pipelines in Microsoft Fabric using Dataflows, Notebooks and Pipelines to efficiently manage data integration and transformation within OneLake.
Building Lakehouse Workspaces
We create customised lakehouse workspaces with integrated OneLake support that bring together structured and unstructured data in one central location, forming the foundation for modern data analytics scenarios.
Development of Data Products
Using DirectLake and Delta Tables, we develop reusable data products in Microsoft Fabric that enable self-service BI, machine learning and real-time analytics.
Governance Setup & Security
We implement a robust governance framework in Fabric using Purview, automated lineage and precise permission models to ensure compliance and data security in line with Azure standards.
Integration of External Data Sources
We connect Microsoft Fabric with your core systems such as SAP, Salesforce or API-based sources, creating a unified data landscape for AI-powered analytics.
Architecture and Migration Planning
We design scalable Microsoft Fabric architectures and guide the migration of existing Azure or Power BI environments to ensure seamless, future-ready integration within the Microsoft Cloud Services.
Implementation of ELT Pipelines
We build high-performance ELT pipelines in Microsoft Fabric using Dataflows, Notebooks and Pipelines to efficiently manage data integration and transformation within OneLake.
Building Lakehouse Workspaces
We create customised lakehouse workspaces with integrated OneLake support that bring together structured and unstructured data in one central location, forming the foundation for modern data analytics scenarios.
Development of Data Products
Using DirectLake and Delta Tables, we develop reusable data products in Microsoft Fabric that enable self-service BI, machine learning and real-time analytics.
Governance Setup & Security
We implement a robust governance framework in Fabric using Purview, automated lineage and precise permission models to ensure compliance and data security in line with Azure standards.
Integration of External Data Sources
We connect Microsoft Fabric with your core systems such as SAP, Salesforce or API-based sources, creating a unified data landscape for AI-powered analytics.
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Our Microsoft Fabric Consulting Services at a Glance
From the initial analysis of your Azure data platform to the productive implementation of Microsoft Fabric, we support you with best practices, expertise and proven methods for making the most of Microsoft Cloud Services.
Microsoft Fabric Quick Check
With the Fabric Migration Quick Check, we assess how you can migrate your existing Azure, Synapse or Power BI environments to Microsoft Fabric quickly and in a structured way. We analyse your data sources, workloads, permissions and dependencies to make opportunities and risks transparent. This helps you identify which migration steps should take priority and how to best integrate Fabric into your Microsoft Cloud architecture.
In our Microsoft Fabric Architecture Workshop, we analyse your existing data landscape and design a customised architecture tailored to your specific needs. We review Azure services, OneLake structures, governance with Purview and the integration of BI, AI and data engineering within Fabric. The result is a clear technical roadmap to strategically and scalably evolve your Microsoft Cloud Services.
With the Fabric Migration Quick Check, we assess how you can migrate your existing Azure, Synapse or Power BI environments to Microsoft Fabric quickly and in a structured way. We analyse your data sources, workloads, permissions and dependencies to make opportunities and risks transparent. This helps you identify which migration steps should take priority and how to best integrate Fabric into your Microsoft Cloud architecture.
In our Microsoft Fabric Architecture Workshop, we analyse your existing data landscape and design a customised architecture tailored to your specific needs. We review Azure services, OneLake structures, governance with Purview and the integration of BI, AI and data engineering within Fabric. The result is a clear technical roadmap to strategically and scalably evolve your Microsoft Cloud Services.
Migration of an existing Power BI landscape to Microsoft Fabric with the goal of unifying storage and analytics and reducing data duplication by 40 %.
Power BI Real-Time Visualisation
Implementation of an IoT streaming layer using Fabric pipelines and real-time visualisation in Power BI.
Data Mesh
Development of a data mesh with domain-specific workspaces and clearly defined data products.
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Microsoft Fabric as the Central Platform in the Tool Stack
As a tool-agnostic partner, we see Microsoft Fabric as the central data platform within a modern tool stack. It unifies data integration, analytics, AI and governance in an open, cloud-based environment and can be seamlessly embedded into existing architectures, whether organisations work with Azure, AWS or GCP.
Compared to traditional data warehouse solutions, Fabric offers clear advantages:
A unified platform instead of fragmented tools
Open storage with direct Power BI integration via OneLake
AI support through Copilot for analytics, SQL generation and automation
In our projects, we see rapid results, especially in migrations to Fabric and in building lakehouse structures with strong self-service capabilities.
Fabric also stands out for its seamless integration with other systems:
DataOps: orchestration of data pipelines with Data Factory and integration into CI/CD processes
FinOps: shared resource usage for ETL, BI and AI to optimise costs
Cloud integration: open formats for smooth interoperability across Azure, AWS and GCP
SAP & ERP: direct connectivity through certified connectors, with data provisioned in OneLake for self-service BI
Data ingestion: support for batch, streaming (e.g. Event Hub, Kafka) and API-based sources
Microsoft Fabric acts as the central platform in the modern data tool stack – open, scalable and AI-powered. It connects tools, clouds and teams into a seamless data analytics landscape that gives organisations maximum flexibility and speed.