How to build a Microsoft Fabric or Azure data platform for a Mannheim organisation: medallion layout for chemicals and process industry 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 Winterthur organisation: medallion layout for industrial machinery and engineering and insurance and reinsurance, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Oxford organisation: medallion layout for higher education and research and pharmaceuticals and biotech, 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 Yverdon-les-Bains organisation: medallion layout for precision engineering and instruments and software and technology, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Mechelen organisation: medallion layout for logistics and freight and food and drink manufacturing, honest capacity sizing, Direct Lake trade-offs and the Belgium residency position.
How to build a Microsoft Fabric or Azure data platform for a Mönchengladbach organisation: medallion layout for textiles, fashion and luxury goods and logistics and freight, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Fribourg organisation: medallion layout for food and drink manufacturing and higher education and research, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Southampton organisation: medallion layout for ports, terminals and maritime and logistics and freight, 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 Dendermonde organisation: medallion layout for logistics and freight and food and drink manufacturing, honest capacity sizing, Direct Lake trade-offs and the Belgium residency position.
How to build an Azure data platform you can trust at 04:00: idempotent loads, replay, data quality gates, alerting that reaches a human, environments and CI/CD, and the cost controls that stop spend drifting.
How to build a Microsoft Fabric or Azure data platform for a Erlangen organisation: medallion layout for medical devices 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 Ludwigshafen am Rhein organisation: medallion layout for chemicals and process industry and logistics and freight, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Braunschweig organisation: medallion layout for automotive and mobility and aerospace, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Navan organisation: medallion layout for food and drink manufacturing and construction and real estate, honest capacity sizing, Direct Lake trade-offs and the Ireland residency position.
How to build a Microsoft Fabric or Azure data platform for a Blackpool organisation: medallion layout for tourism, hospitality and events 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 Locarno organisation: medallion layout for tourism, hospitality and events and media, advertising and creative, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Sion organisation: medallion layout for renewables and tourism, hospitality and events, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
How to build a Microsoft Fabric or Azure data platform for a Bolton organisation: medallion layout for industrial machinery and engineering and logistics and freight, 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 Ghent organisation: medallion layout for ports, terminals and maritime and automotive and mobility, honest capacity sizing, Direct Lake trade-offs and the Belgium residency position.
How to build a Microsoft Fabric or Azure data platform for a Kassel organisation: medallion layout for industrial machinery and engineering and rail and public transport, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
How to build a Microsoft Fabric or Azure data platform for a Hull organisation: medallion layout for ports, terminals and maritime and renewables, 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 Charleroi organisation: medallion layout for aviation and airports 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 Bielefeld organisation: medallion layout for industrial machinery and engineering 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 Hildesheim organisation: medallion layout for electronics and semiconductors and automotive and mobility, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
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.