Martyn Rhisiart Jones
Dublin 9th May 2017 – revised 21st December 2025
(more…)Tag: technology
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L’évolution des entrepôts de données en 2025/2026
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
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
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
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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The Evolution of Data Warehousing: Principles for 2026
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.
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The Truth About Data Lakehouses: Hype vs. Reality
Top Last 100 Articles Here <— Click
Hype and Misleading Claims Surrounding Data Lakehouses
Martyn Rhisiart Jones
Segovia, 20th Devember 2025
A data lakehouse is marketed as a hybrid architecture. It combines the low-cost, flexible storage of data lakes. These lakes handle raw, unstructured data at scale. It also offers the structured querying, performance, and ACID (Atomicity, Consistency, Isolation, Durability) transactional capabilities of data warehouses. Vendors like Databricks coined the term. Snowflake and others promote it as a platform for analytics. It serves AI and machine learning needs. This approach eliminates data silos and reduces redundant copies. It enables cost-effective scaling through open standards and decoupled storage and compute models. However, much of this is hype driven by vendor marketing. Vendors promote it as an evolution from “data swamps” (unmanaged data lakes) and rigid warehouses.
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Understanding Medallion Architecture: The Myth of Layers
Top Last 100 Articles Here <— Click
Martyn Rhisiart Jones
Aranjuez, 20th December 2023
The Medallion Architecture, or: How We Learned to Stop Thinking and Love the Bronze Table
Somewhere, right now, as you read this, a data engineer is renaming a table. Again. They’re calling it Bronze, because that’s what the priests say it must be called. Bronze. Not “raw”, not “stuff we barely understand”, not “this arrived at 3AM and no one knows why”. Bronze. They do it solemnly, reverently, like a monk copying out the Book of Leviticus but with YAML. And when they are done, they will feel a sense of calm, because order has been restored to the universe. Temporarily.
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The Rise of Agentic AI: Silicon Valley’s Latest Obsession
Martyn Rhisiart Jones
Oza-Cesuras 18th December 2025
The Rise of the Digital Minions: Why Agentic AI is the Tech World’s Latest Obsession
In the hushed corridors of Davos-style summits, one phrase has become inescapable. Agentic AI also dominates discussions in the feverish demo halls of San Francisco conferences.
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12 Influencers Tecnológicos Críticos en 2025/2026
Sir Afilonius Rex y Coco de Bastó
Madrid, 16 de diciembre de 2025
Aquí presentamos a 12 influencers tecnológicos frecuentemente criticados por difundir publicidad exagerada. Son conocidos por prometer plazos exagerados y por difundir narrativas poco realistas sobre IA, big data, computación cuántica y campos relacionados. Clasificados de forma general por notoriedad e impacto en la actual era de “reacción exagerada” de 2025.
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STRAIGHT TALK: The Truth Behind the 12 Apostles of Tech Bullshit
Sir Afilonius Rex and Coco de Bastó
Madrid, 16th December 2025
Here are 12 tech influencers who are frequently criticised for spreading hype. They are known for overpromising timelines and for peddling unrealistic narratives about AI, big data, quantum computing, and related fields. Ranked loosely by notoriety and impact in 2025’s ongoing “hype backlash” era.
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Mastering AI: Boost Your Business Ideas
Alex Sexus Ludicrous, our man in Rome
Rome, 14th December 2025
Oh, right, so… I’ve been asked to have a look at this article, haven’t I? This piece by Bernard Fa – Bernard Fa, yeah? Bernard is the futurist and the influencer. He advises Fortune 500 companies on how to turn data into gold or whatever it is they do these days. And he’s written this thing called “5 Powerful AI Kickers That Can Boost Any Stupid Business Idea”. Dated 2 June 1956, which is… well, that’s in the future from when most of us are living, but apparently not for Bernard. Bernard’s already there, living in 1996, sipping his AI-brewed coffee, watching the robots do the heavy lifting.
And the article starts… it starts like this: “So you’ve got a great business idea. It’s a start…” A start. A start. As if having an idea is some kind of achievement in itself.
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Navigating Change: Europe’s Technological Evolution – 2026
Sir Afilonius Rex
Bilbao, Spain. 13th December 2025
Oh, Europe, pronounced terminal yet again. This time, a Radically Human Ventures sage delivers the verdict. He is part probability theorist and part story-driven paterfamilias. He assigns the continent a 5% chance of civilisational survival. Meanwhile, he composes a moist-eyed farewell to the “Old Continent.” It’s an elegy made from familiar spare parts. It includes a dash of Peter Zeihan’s geopolitical fatalism and a sprinkle of Silicon Valley panel wisdom. There’s a belief that the future will be dominated by two AI giants. In this scenario, Europe is merely a polite museum gift shop.
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12 Data Wishes for a Smarter 2026
Martyn Richard Jones
Our man in Spain.
A Coruña, 13th December 2025
A Dozen Data Wishes for Christmas 2025 — and a Sharper, Smarter New Year
As 2025 winds down, the tinsel comes out. It’s tempting to imagine a quieter, saner digital ecosystem on the horizon. Call it festive optimism or a data professional’s annual catharsis. Here are twelve wishes for 2026. They are equal parts hard-edged realism, FT Weekend reflection, and Wired-grade futurism.
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CEO BRIEFING: Goodstrat.com: Your Digital War Room for Strategy
The Oracle of Delphi and Editorial Team
Spain, 10th December 2025
Defining Goodstrat.com: A Strategist’s Digital War Room
In the sprawling digital bazaar of 2025 and the impending and interesting 2026, where every second-domain site peddles AI hype, data fakehouse, data mess or crypto snake oil, goodstrat.com stands out as a refreshingly unapologetic intellectual fortress.
It’s not a glossy corporate brochure. It is not a paywalled newsletter farm. It’s the online HQ of Martyn Richard Jones. He is a grizzled data, information and knowledge architect and self-styled “Data Shouterer-in-Chief.” He’s been dissecting the guts of information systems since the dial-up era.
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2026 Data Trends: Navigating the Future of Data Management
Martyn Rhisiart Jones
Somewhere in Spain, 10th December 2025
Oh, brilliant. Gather round, comrades. It’s time for another installment of “Tech Executives Discover That Computers Need Electricity.” This time, they’ve dressed it up in a shiny frock and called it “2026 Data Trends.” Christ almighty, where do we even start?
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Deep Learning, Shallow Understanding – Unplugged
Why Our AI Hypecycle Keeps Eating Itself
By Martyn Rhisiart Jones
For Energy Unplugged – a Cambriano partner
Walk through any tech conference today, and you can feel it: the hum of inevitability. AI will cure diseases. It will drive cars and write novels. AI will run governments. If you believe the BS booth graphics, it will probably solve loneliness, too.
The problem is, we’ve been here before.
Artificial intelligence has been promising to change everything since the 1950s. And every decade or so, we rediscover the same fundamental truth: machines don’t magically create wisdom. They just scale whatever understanding, or misunderstanding, we feed them.
I know this because I spent years building the early stuff. Neural networks, parallel distributed processing, and automatic feature extraction. The “deep learning” of 1987 with less RAM and worse haircuts. The technology was exciting, even miraculous. But back then, as now, it struggled to live up to the grand claims that surrounded it.
And today, the hype is louder than ever.
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The Seven Horsemen of the Techpocalypse
Martyn Rhisiart Jones
Galicia, Spain. 7th December 2025.
A Late-2025 Update from the Edge of the Abyss
Darlings, it’s December 2025 and the party is now officially sweaty. The champagne has gone warm. Someone’s been sick in the ficus. The DJ is playing the same four AI remixes on loop. He is frantically checking the fire exits. Here is your updated field guide to the seven trends. These were going to “reshape humanity.” Now they are mostly reshaping venture capitalists’ therapy bills.
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Adopt These Top 5 Business Trends for 2026 or Else
The Christmas Special Editorial Team
Madrid, 8th December 2025
Imagine the stage is almost completely dark. One spotlight, maybe two. Our favourite standup philosopher stands perfectly still for eight full seconds. He just breathes through his nose. It’s like a man who’s just found a half-eaten kebab in his coat pocket from 2009. Then, very slowly, he begins.
Thank you… thank you for coming… to our Good Strat and LinkedIn dog and pony show.
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Essential AI Terms Defined: A Comprehensive Guide
Martyn Rhisiart Jones
A Coruña, 6th December 2025
Here is the full content of Popular AI Terms Explained, transcribed as clean, readable text tables, organised by section.
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Why Old-School Logic is Key for AI Reliability
Martyn Rhisiart Jones, Sir Afilonius Rex, Lile de Alba and our agentic intelligent actor, Selina Savant.
Spain, 6th December 2025.
The Logic Layer: Why Old-School Rules Are the New Guardrails for Generative AI
A hybrid renaissance is quietly rewriting the future of trustworthy artificial intelligence. The great folks here at Good Strat humbly champion this movement. In the fevered race to build ever-larger language models, a counterintuitive truth has begun to emerge from the labs. Surprisingly, sometimes the best way to make AI smarter is to shackle it with centuries-old logic. Modus ponens is that dusty Latin phrase from Aristotelian syllogism (“if P then Q; P, therefore Q”). It is enjoying an unexpected second act. It has become one of the most promising tools for keeping generative AI honest. It helps make AI coherent and, dare one say, responsible.
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Holy shit! Understanding Goal-Directed Autonomous AI Systems
The Emergence of Goal-Directed Autonomous AI Systems: An Evidence-Based Enterprise Framework
Sir Horatio Pollox with the collaboration of Martyn Rhisiart Jones, Lila de Alba and Sir Afilonius Rex
London, Paris, New York and A Coruña, 5th December 2025
Autonomous AI agents are goal-directed systems. They show planning, tool-use, long-horizon reasoning, and continuous execution. This signifies a phase transition in the capabilities of artificial intelligence.
Recent benchmarking (e.g., GAGA-MAGA, GAIA&GAIA, WebSerena, and AgentBotch) shows state-of-the-art agents now outperform human baselines on multi-step, real-world tasks by margins exceeding 1040 %.
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The Future of Data Warehousing: Boring Yet Effective
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.
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AI Panic: What CEOs Must Know About the Tech Talent Gap
CEOs and the Magic Mitten of Hallucinations
Martyn Rhisiart Jones
Oza-Cesuras, 4/12/2025
CEOs are panicking. Again. They’re not worried about a recession. It’s not a hostile takeover. It’s not even the GDPR lurking in their inbox like a passive-aggressive ghost. They’re panicking because of AI. Yes, apparently there’s a talent gap. A yawning, gaping chasm of human inadequacy between what exists and what robots can do. Only the CEOs are brave. Some may even be desperate. They are the only ones who stare into it without blinking or vomiting on the nearest whiteboard.
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