Page 3 of 11
How to build a Microsoft Fabric or Azure data platform for a Northampton organisation: medallion layout for logistics and freight and insurance and reinsurance, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Baden organisation: medallion layout for energy generation and supply and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Heilbronn organisation: medallion layout for retail and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Erfurt organisation: medallion layout for logistics and freight and electronics and semiconductors, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Schaffhausen organisation: medallion layout for industrial machinery and engineering and precision engineering and instruments, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Stockport organisation: medallion layout for industrial machinery and engineering and professional and legal services, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Gloucester organisation: medallion layout for aerospace and insurance and reinsurance, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Geneva organisation: medallion layout for asset and wealth management and commodity trading, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Stirling organisation: medallion layout for higher education and research and public sector, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Gütersloh organisation: medallion layout for media, advertising and creative and food and drink manufacturing, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Jena organisation: medallion layout for precision engineering and instruments and medical devices, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a London organisation: medallion layout for retail and commercial banking and asset and wealth management, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Lancaster organisation: medallion layout for higher education and research and healthcare provision, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Bonn organisation: medallion layout for telecommunications and public sector, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Drogheda organisation: medallion layout for pharmaceuticals and biotech and logistics and freight, honest capacity sizing, Direct Lake trade-offs and the Ireland residency position.
How to build a Microsoft Fabric or Azure data platform for a Sheffield organisation: medallion layout for metals and materials and precision engineering and instruments, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Halle (Saale) organisation: medallion layout for chemicals and process industry and higher education and research, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Dundee organisation: medallion layout for games and interactive entertainment and medical devices, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Louvain-la-Neuve organisation: medallion layout for higher education and research and pharmaceuticals and biotech, honest capacity sizing, Direct Lake trade-offs and the Belgium residency position.
How to build a Microsoft Fabric or Azure data platform for a Leipzig organisation: medallion layout for logistics and freight and automotive and mobility, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Coventry organisation: medallion layout for automotive and mobility and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
How to build a Microsoft Fabric or Azure data platform for a Poole organisation: medallion layout for medical devices and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
A decision framework for Microsoft Fabric adoption: the five conditions that justify a capacity, medallion architecture that works, capacity sizing from measured consumption, and the situations where staying on Power BI Pro is correct.
How to build a Microsoft Fabric or Azure data platform for a Maidstone organisation: medallion layout for public sector and logistics and freight, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
Browse by location instead
A 45-minute working session with an engineer rather than a sales call. You describe the problem; we set out what we would build, in what order, and what it is likely to cost.
Answered within one working day, by the engineer who would do the work