Tag Archives: medallion-architecture

Future Data Trends: Insights for 2026 Leadership

21 Sun Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , , , , , , ,


Martyn Rhisiart Jones

Segovia, 20th December 2025

Top 5 Trends Shaping the Future of Data, Analytics, and AI Leadership in 2026

I’ve had the privilege of leading a groundbreaking global study in partnership with a strategic client. During this study, I spoke with many key Chief Data Officers (CDOs). I also engaged with Chief Data & Analytics Officers (CDAOs) and AI executives across industries and geographies. The insights reveal how organisations are changing their data and AI strategies. They aim to drive real business value in an increasingly complex world.

Continue reading →

L’évolution des entrepôts de données en 2025/2026

21 Sun Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , , , , , , , , , , , , , , , , , , ,


Martyn Rhisiart Jones

Segovia 20th December 2025

L’entrepôt de données est mort. Vive l’entrepôt de données !

En 1992, Bill Inmon a inventé le terme « entrepôt de données » et a défini quatre règles d’or : orienté sujet, intégré, non volatil et temporel. C’était le modèle d’une forteresse de vérité, coûteuse, sur site, fonctionnant par lots et absolument indispensable. Trente ans plus tard, cette forteresse a laissé place à une plateforme cloud hyperscale. Cette plateforme peut exécuter simultanément vos modèles d’IA et le tableau de bord de votre PDG. Bienvenue dans l’entreposage de données de 2025.

Continue reading →

Evoluzione del Data Warehouse: Da Inmon al Cloud 2025/2026

21 Sun Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , , , , , , , , , , , , , , ,


Martyn Rhisiart Jones

Segovia 20th December 2025

Il Data Warehouse è morto. Lunga vita al Data Warehouse.

Nel 1992, Bill Inmon coniò il termine “data warehouse”. Definì quattro regole sacre: orientato al soggetto, integrato, non volatile, e variabile nel tempo. Era il modello per una fortezza della verità, costosa, on-premise, elaborata in batch e assolutamente indispensabile. Facciamo un salto in avanti di tre decenni. La fortezza è stata sostituita da qualcosa che assomiglia a una piattaforma cloud iperscalabile. Questa piattaforma può gestire contemporaneamente i tuoi modelli di intelligenza artificiale e la dashboard del tuo CEO. Benvenuti al data warehouse nel 2025.

Continue reading →

El Nuevo Almacén de Datos: Evolución y Revolución

21 Sun Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , , , , , , , , , , ,


Martyn Rhisiart Jones

Segovia 20th December 2025

El almacén de datos ha muerto. ¡Viva el almacén de datos!

En 1992, Bill Inmon acuñó el término “almacén de datos” y estableció cuatro reglas sagradas: orientado al sujeto, integrado, no volátil y variable en el tiempo. Era el modelo para una fortaleza de la verdad, costosa, local, con procesamiento por lotes y absolutamente indispensable. Tres décadas después, la fortaleza ha sido reemplazada por algo similar a una plataforma en la nube a hiperescala. Esta plataforma puede ejecutar simultáneamente tus modelos de IA y el panel de control de tu director ejecutivo. Bienvenido al almacenamiento de datos en 2025.

Continue reading →

Is the Data Warehouse Dead? Exploring New Paradigms

20 Sat Dec 2025

Posted by in Inform, educate and entertain., Polemic

≈ Leave a comment

Tags

, , , , , , , , ,


Martyn Rhisiart Jones

Segovia 20th December 2025

The Data Warehouse Is Dead. Long Live the Data Warehouse.

In 1992, Bill Inmon coined the term “data warehouse” and laid out four sacred rules: subject-oriented, integrated, non-volatile, time-variant. It was a blueprint for a fortress of truth, expensive, on-premises, batch-processed, and utterly indispensable. Fast-forward three decades. The fortress has been replaced by something that resembles a hyperscale cloud platform. This platform can run your AI models and your CEO’s dashboard simultaneously. Welcome to data warehousing in 2025.

Continue reading →