Tag Archives: Analytics

Friends! Romans! Countrymen! Big Data is not Data Warehousing – 2026/01/29

11 Wed Feb 2026

Posted by in Big Data, Consider this, Data Warehousing, Good Strat, hadoop, hdfs, Martyn Jones

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Martyn Rhisiart Jones

29th January 2026

Hold this thought: To paraphrase the great Bob Hoffman, just when you think that if the Big Data babblers were to generate one more ounce of bull**** the entire f****** solar system would explode, what do they do? Exceed expectations.

I am a mild mannered person. However, one thing that irks me is hearing variations on certain themes. These themes include phrases like “Data Warehousing is Big Data.” Another is “Big data is in many ways an evolution of data warehousing.” Lastly, some say “with Big Data you no longer need a Data Warehouse.”

Big Data is not Data Warehousing. It is not the evolution of Data Warehousing. It is also not a sensible and coherent alternative to Data Warehousing. No matter what certain vendors will put in their marketing brochures or stick up their noses.

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Future Data Trends: Insights for 2026 Leadership

21 Sun Dec 2025

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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.

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L’évolution des entrepôts de données en 2025/2026

21 Sun Dec 2025

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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.

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

21 Sun Dec 2025

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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.

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El Nuevo Almacén de Datos: Evolución y Revolución

21 Sun Dec 2025

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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.

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Is the Data Warehouse Dead? Exploring New Paradigms

20 Sat Dec 2025

Posted by in Inform, educate and entertain., Polemic

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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.

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Martyn Jones – Author

08 Tue Apr 2025

Posted by in Inform, educate and entertain.

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Hold up, folks! You’re going to love these! They are amazing, beautiful, classy, dazzling and eminently readable. And that’s an absolute understatement of Mel Brook’s proportions.

As a writer, I have several works to my name. This post highlights some of these works. It also offers a quick link to the Amazon platform, where you can get your editions.

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Is Data Warehousing Really Outdated?

29 Sun Sep 2024

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Data warehousing is out of date?

Martyn Jones, Manhattan, 29th September 2024

Narrator: According to some data-mesh folk, data warehousing is “a data management construct that dates back to the eighties,” I have a problem with that. It’s as if that was somehow a bad thing. Is it? For me, that’s quite a weak argument that, in a way, treats people as if they were idiots.

It is like someone asking Newton, “So, Sir Isaac, you don’t still believe in that old gravity nonsense, do you?”

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Data Warehousing means monolithic databases?

27 Fri Sep 2024

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Data Warehousing means monolithic databases?

Martyn Jones, Brooklyn, 27th September 2024

Narrator: Another false meme doing the rounds is that Data Warehousing necessarily means monolithic databases. This is not what data warehouses have been for many businesses.

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