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.

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.
As experts in Microsoft Cloud Services, we help you design, migrate and optimise your end-to-end data platform in Microsoft Fabric.
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.
We build high-performance ELT pipelines in Microsoft Fabric using Dataflows, Notebooks and Pipelines to efficiently manage data integration and transformation within OneLake.
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.
Using DirectLake and Delta Tables, we develop reusable data products in Microsoft Fabric that enable self-service BI, machine learning and real-time analytics.
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.
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.
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.
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.
IT, data teams and BI leads should be involved, and in self-service projects, also data owners from the business departments.
Fabric combines data warehousing, lakehouse and AI capabilities in a single platform with central storage (OneLake) and integrated BI access.
Yes, Power BI, Azure ML, Synapse, Data Factory and Purview are fully integrated.
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