Tag Archives: Data Warehouse

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 The fortress has been replaced by something that resembles a hyperscale cloud platform.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 →

The Evolution of Data Warehousing: Principles for 2026

20 Sat Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , , , , , , ,


Martyn Rhisiart Jones

Segovia, 20th December 2025

Introduction

The data warehouse has undergone a profound transformation over the past decade. Expensive, rigid, on-premises systems were once built for batch reporting. These systems have now evolved into cloud-native, highly scalable platforms. They are designed to meet the demands of today’s data-driven organisations.

Continue reading →

Dades Organitzades: El Secret de l’Èxit Empresarial

05 Fri Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , , , ,


Per què el magatzem de dades és el futur avorrit, brutal i preciós de les dades

Martyn Rhisiart Jones

La Corunya, 12/5/2025

La pila de dades moderna s’ha convertit en una fontaneria cyberpunk: canonades infinites que alimenten més canonades, capes apilades com una extensió de golfes construïda per algú que va aprendre fusteria de TikTok. En algun lloc, un CTO encara insisteix que el llac de dades “oferirà valor empresarial en qualsevol trimestre”, sonant tranquil de la mateixa manera que algú ho faria mentre negocia amb el seu propi segrestador.

Continue reading →

Almacenamento de Datos: O Futuro Aburrido e Poderoso

05 Fri Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , , ,


Por que o almacenamento de datos é o futuro aburrido, brutal e fermoso dos datos

Martyn Rhisiart Jones

A Coruña, 12/5/2025

A pila de datos moderna converteuse nunha fontanería cyberpunk: tubaxes interminables que alimentan máis tubaxes, capas apiladas como unha extensión do faiado construída por alguén que aprendeu carpintería de TikTok. Nalgún lugar, un CTO aínda insiste en que o lago de datos “ofrecerá valor empresarial en calquera trimestre”, soando tranquilo do mesmo xeito que alguén podería mentres negocia co seu propio secuestrador.

Continue reading →

The Future of Data Warehousing: Boring Yet Effective

05 Fri Dec 2025

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , , , ,


Why Data Warehousing Is the Boring, Brutal, Beautiful Future of Data

Martyn Rhisiart Jones

A Coruña, 5/12/2025

The modern enterprise data stack looks less like technology and more like cyberpunk plumbing. Pipes are rerouted through pipes. Valves are attached to valves. Layers are placed on top of each other until the whole thing resembles a drawing. It’s like a creation made by a caffeinated child let loose on a whiteboard. Data lakes are here. A data mesh is over there. A lakehouse is balanced precariously on top. It resembles a loft extension built by someone who learnt carpentry from TikTok.

Continue reading →

Understanding Exhaust Data in Data Warehousing

02 Wed Oct 2024

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , ,


The data warehouse is the place to copy exhaust data to

Martyn Jones, Bilbao, 2nd October 2024

Narrator: Not all data we have is related to strictly business domains such as products, organisation structure and corporate real estate. A lot of data we collect is simply about monitoring all aspects of IT, applications, networking, security and governance. To name just a few.

Dud: What’s all this data in my exhaust? Is my data back-end going well, or do I have a mechanical data governance issue? All this OLTP exhaust data is so tedious and tiring.

Continue reading →

Orientation! Domain or Subject?

26 Thu Sep 2024

Posted by in Inform, educate and entertain.

≈ Leave a comment

Tags

, , , ,


Domain orientation or subject orientation?

Martyn Jones, New Jersey

Narrator: Here, in this piece, we wander down Differential Avenue to look at what people consider domain and subject orientation. This story is about the good, the embarrassingly lousy hyperbole and then the ugliest provocative nonsense.

Continue reading →

Consider this: Big Data Inertia

22 Tue Mar 2016

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

≈ Leave a comment

Tags

, , , , , , ,


“Half the time she did things not simply, not for themselves; but to make people think this or that; perfect idiocy she knew for no one was ever for a second taken in.”  Virginia Woolf, Mrs. Dalloway

It’s all very well for the blithering Big Data bullshitter savants to now claim, after a massive exercise in u-turning, that Big Data isn’t after all about data volumes, velocities and varieties, but about some minor variation on the theme of data architecture, management and processing.

But, look at the mess! Continue reading →