Page 5 of 31
How to build a Microsoft Fabric or Azure data platform for a Würzburg organisation: medallion layout for higher education and research and healthcare provision, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
Practical data governance for analytics estates in Kiel: what the federal commissioner (BfDI) and the Land data protection authorities expects under the EU GDPR and the Bundesdatenschutzgesetz (BDSG), the sector rules that bite locally, Microsoft Purview in practice, and a 90-day plan.
Practical data governance for analytics estates in Trier: what the federal commissioner (BfDI) and the Land data protection authorities expects under the EU GDPR and the Bundesdatenschutzgesetz (BDSG), the sector rules that bite locally, Microsoft Purview in practice, and a 90-day plan.
How to build a Microsoft Fabric or Azure data platform for a Thun organisation: medallion layout for defence and security and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
A practical guide to Power BI consultancy in Mechelen: the definition traps in logistics and freight and food and drink manufacturing, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the EU GDPR and the Belgian Data Protection Act of 2018.
A practical guide to Power BI consultancy in Potsdam: the definition traps in software and technology and higher education and research, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the EU GDPR and the Bundesdatenschutzgesetz (BDSG).
How to build a Microsoft Fabric or Azure data platform for a Lübeck organisation: medallion layout for ports, terminals and maritime and medical devices, honest capacity sizing, Direct Lake trade-offs and the Germany residency position.
Practical data governance for analytics estates in Colchester: what the Information Commissioner's Office (ICO) expects under UK GDPR and the Data Protection Act 2018, the sector rules that bite locally, Microsoft Purview in practice, and a 90-day plan.
How to build a Microsoft Fabric or Azure data platform for a Mouscron organisation: medallion layout for textiles, fashion and luxury goods 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 Nuremberg organisation: medallion layout for electronics and semiconductors 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 Portsmouth 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 Stoke-on-Trent organisation: medallion layout for logistics and freight and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
A practical guide to Power BI consultancy in Ghent: the definition traps in ports, terminals and maritime and automotive and mobility, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the EU GDPR and the Belgian Data Protection Act of 2018.
A practical guide to Power BI consultancy in Leipzig: the definition traps in logistics and freight and automotive and mobility, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the EU GDPR and the Bundesdatenschutzgesetz (BDSG).
How to design a Power BI semantic model that performs and survives: star schema discipline, conformed dimensions, slowly changing dimensions, role-playing dates, and the five modelling mistakes that cause most support calls.
How to build a Microsoft Fabric or Azure data platform for a Bochum organisation: medallion layout for software and technology 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 Wakefield organisation: medallion layout for logistics and freight and food and drink manufacturing, 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 Cork organisation: medallion layout for pharmaceuticals and biotech 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 Manchester organisation: medallion layout for professional and legal services 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 Reading organisation: medallion layout for software and technology and telecommunications, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
A practical guide to Power BI consultancy in Lausanne: the definition traps in higher education and research and software and technology, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the revised Federal Act on Data Protection (revFADP / revDSG), in force since September 2023.
A practical guide to Power BI consultancy in Offenbach am Main: the definition traps in software and technology and logistics and freight, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the EU GDPR and the Bundesdatenschutzgesetz (BDSG).
Practical data governance for analytics estates in Wolverhampton: what the Information Commissioner's Office (ICO) expects under UK GDPR and the Data Protection Act 2018, the sector rules that bite locally, Microsoft Purview in practice, and a 90-day plan.
How to build a Microsoft Fabric or Azure data platform for a Marburg organisation: medallion layout for pharmaceuticals and biotech and higher education and research, honest capacity sizing, Direct Lake trade-offs and the Germany 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