Tag Archives: chatgpt

Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3

14 Sat Feb 2026

Posted by in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

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This is the brave new world of data!

Martyn Rhisiart Jones

Bandoxa, 15th February 2026

Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3

Guide

This episode provides a comprehensive framework for the third installment in the series on the Data Logistics Hub (DLH). Martyn Jones conceptualised it as a technology-agnostic, centralised platform. Its purpose is efficiently moving, governing, and distributing data across organisations. This part expands on Part 1 (Challenges and Opportunities) and Part 2 (The Strategy). It focuses on the tangible “pieces and parts” of the DLH architecture. It outlines mandatory and optional elements. The episode also explores potential technologies. It examines key processes such as data pulling or pushing, translation from source to target, mapping, and data catalogues.

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Building the Data Logistics Hub: The Strategy – 2026/02/14 – Part 2

14 Sat Feb 2026

Posted by in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

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This is the brave new world of data!

Martyn Rhisiart Jones

Bandoxa, 14th February 2026


Building the Data Logistics Hub: The Strategy – 2026/02/14 – Part 2Before I begin, remember this: “All data roads lead to the Data Logistics Hub.” They also lead from it. It is the Rome of the age of data, information, knowledge, and wisdom. Be prepared!

Okay, we will now examine the Data Logistics Hub in terms of strategy, execution plans, and roadmaps.

A high-level blueprint for a successful Data Logistics Hub outlines several requirements. These include principles, guiding objectives, an imagined “better world” and organisational alignment. Key trade-offs must also be considered, such as centralised versus federated and batch versus streaming, among others.

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Solucionando el Dilema del Almacén de Datos

13 Fri Feb 2026

Posted by in Inform, educate and entertain.

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Martyn Rhisiart Jones

Madrid, sábado 7 de febrero de 2026

Libros de Martyn Rhisiart Jones: https://www.amazon.es/stores/author/B086K5B97Y

¿Qué decir?

Estaba leyendo un artículo escrito por Jeff Wilts y recomendado por Bill Inmon. Llegué a esta afirmación: «Teradata es un almacén de datos empresarial con todas las funciones». Para mí, la cosa fue aún más cuesta abajo a partir de ahí.

Pero esto fue el golpe de gracia: «Databricks es una plataforma de datos unificada que puede comportarse como un almacén de datos».

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Fixing the Data Warehouse – 2026/02/10

10 Tue Feb 2026

Posted by in Inform, educate and entertain.

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Martyn Rhisiart Jones

Zamora, Tuesday 10th February 2026

What to say?

I was reading an article. It was written by Jeff Wilts and recommended by Bill Inmon. I got to this statement: “Teradata is a full-featured enterprise data warehouse.”  For me, it went further downhill from there.

It was very disheartening and deceptive. I decided to write an article about my thoughts on it. (Understanding the Data Warehouse Dilemma – 2026/02/07, https://goodstrat.com/2026/02/06/understanding-the-data-warehouse-dilemma-2026-02-07/).

As a result, many people approached me. They asked directly and indirectly if I would suggest ways and means to overcome or avoid those dilemmas.

This is the result.

Enjoy! But even better, let me know what you think.

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What Every CEO Needs to Know About Big Data – Revisited – 2026/01/26

07 Sat Feb 2026

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, business, Business Intelligence, business strategy, 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

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Martyn Richard Jones

New York City, 18th January 2017

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Blue sky for professional data architecture and management

Scope

I’ll make this short, sweetish and to the point.

These are the arguments that CEOs need to know about Big Data.

It was written for CEOs and those who provide independent advice to CEOs.

If you are someone who wants to be prepared for CEOs who are armed with the realities of Big Data, then maybe this is for you too.

Point One: Big Data is bullshit

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Understanding the Data Warehouse Dilemma – 2026/02/07

06 Fri Feb 2026

Posted by in Inform, educate and entertain.

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Martyn Rhisiart Jones

Madrid, Saturday 7th February 2026

Books from Martyn Rhisiart Jones https://www.amazon.es/stores/author/B086K5B97Y

What to say?

I was reading an article. It was written by Jeff Wilts and recommended by Bill Inmon. I got to this statement: “Teradata is a full-featured enterprise data warehouse.”  For me, it went further downhill from there.

But this was the coup de grace: “Databricks is a unified data platform that can behave like a data warehouse.” 

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The Truth Behind AI Hype in 2026 – 2026/01/22

21 Wed Jan 2026

Posted by in Inform, educate and entertain., Polemic

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New IT Bullshit for Old

Martyn Rhisiart Jones

Madrid, Wednesday 21 January 2026

In early 2026 the technology industry is once again telling big confident stories about its own future. These stories dominate earnings calls conference stages and investor decks. They sound transformative urgent and inevitable. Yet when examined closely many of them rest on fragile foundations and selective evidence rather than operational reality.

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The Rise of Agentic AI in 2026 – 2026/01/15

15 Thu Jan 2026

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Is Agent Orange Agentic AI?

Sir Afilonius Rex and Martyn Rhisiart Jones

Read my absolutely fabulous books: http://www.goodstrat.com/books

Paris, Thursday 15th January 2026

Strap in, you beautiful, trusting little optimist. We’re about to crank the dial so far past irony that it transforms into existential despair. It comes with a side of eye-roll. Here’s your precious 2026 AI agent prophecy. It is now properly marinated in contempt. It is served with a garnish of pure, seething mockery.

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Big Data: The Art of Bullshit – 2026

15 Thu Jan 2026

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, disinformation, governance, Inform, educate and entertain., information, Information Management, Information Supply Frameowrk, Information Supply Framework, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Bertxin Galestara and Sir Afilonius Rex,  based on an  opinion piece written by Marty Rhisiart Jones

Mountain View, 19th January 2017 – Bandoxa Thursday 15th January, 2026

“I’ve been accused of vulgarity. I say that’s bullshit.” – Mel Brooks

If you enjoy this piece or find it useful, then please consider joining The Big Data Contrarians on LinkedIn. Continue reading →

Top AI Red Flags to Watch – 2026

13 Tue Jan 2026

Posted by in Inform, educate and entertain.

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AI’s Red Flags – His Master’s Voice

Martyn Rhisiart Jones

Bandoxa, Tuesday 13th January 2026

Read my absolutely fabulous books: http://www.goodstrat.com/books

As we settle into 2026, artificial intelligence is no longer a futuristic promise. It is embedded infrastructure. It powers everything from enterprise workflows and personal assistants to autonomous agents that act on our behalf. Yet with greater capability comes greater exposure. The biggest red flags this year are not hypothetical doomsday scenarios. They are already materialising in boardrooms. They are visible in cybersecurity dashboards, consumer wallets, and regulatory filings. Here are the most pressing warning signs to watch in 2026. These are drawn from industry reports. They originate from expert predictions. Emerging incident patterns also highlight them.

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