Page 1 of 11
How to build a Microsoft Fabric or Azure data platform for a Brussels organisation: medallion layout for public sector and professional and legal services, honest capacity sizing, Direct Lake trade-offs and the Belgium residency position.
How to build a Microsoft Fabric or Azure data platform for a Lüneburg organisation: medallion layout for public sector 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 Cologne organisation: medallion layout for insurance and reinsurance and media, advertising and creative, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Paisley organisation: medallion layout for aviation and airports 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 Telford organisation: medallion layout for industrial machinery and engineering and automotive and mobility, 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 Darmstadt organisation: medallion layout for software and technology and chemicals and process industry, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Turnhout organisation: medallion layout for pharmaceuticals and biotech and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the Belgium residency position.
How to build a Microsoft Fabric or Azure data platform for a Aachen organisation: medallion layout for higher education and research 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 Woking organisation: medallion layout for automotive and mobility 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 Harrogate organisation: medallion layout for professional and legal services and tourism, hospitality and events, 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 Paderborn organisation: medallion layout for software and technology 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 Pforzheim organisation: medallion layout for precision engineering and instruments and textiles, fashion and luxury goods, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Bristol organisation: medallion layout for aerospace and software and technology, 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 Bruges organisation: medallion layout for tourism, hospitality and events and ports, terminals and maritime, honest capacity sizing, Direct Lake trade-offs and the Belgium residency position.
How to build a Microsoft Fabric or Azure data platform for a Killarney organisation: medallion layout for tourism, hospitality and events and medical devices, honest capacity sizing, Direct Lake trade-offs and the Ireland residency position.
How to build a Microsoft Fabric or Azure data platform for a Peterborough 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 Plymouth organisation: medallion layout for defence and security and ports, terminals and maritime, 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 Konstanz organisation: medallion layout for higher education and research and software and technology, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Athlone organisation: medallion layout for software and technology and medical devices, honest capacity sizing, Direct Lake trade-offs and the Ireland residency position.
How to build a Microsoft Fabric or Azure data platform for a Carlow organisation: medallion layout for pharmaceuticals and biotech and agriculture and agribusiness, honest capacity sizing, Direct Lake trade-offs and the Ireland residency position.
How to build a Microsoft Fabric or Azure data platform for a Frankfurt am Main organisation: medallion layout for retail and commercial banking and asset and wealth management, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Winchester organisation: medallion layout for professional and legal services 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 Galway organisation: medallion layout for medical devices and software and technology, honest capacity sizing, Direct Lake trade-offs and the Ireland residency position.
How to build a Microsoft Fabric or Azure data platform for a Nottingham organisation: medallion layout for retail and insurance and reinsurance, 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