28 Monday Sep 2026
Posted in data architecture, Data Supply Framework
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For centuries, human beings looked to the skies, the flight of birds, or the sudden appearance of a black cat to divine what lay ahead. In folklore, ignoring a portent was a recipe for ruin. Today, modern enterprises look down at dashboard metrics rather than up at the clouds—yet the fundamental search for foresight remains unchanged.
Continue reading25 Tuesday Aug 2026
Pip: If you have ever looked at your organisation’s data landscape and thought “this resembles a motorway junction designed by someone who hates drivers,” then Martyn Jones has a blueprint with your name on it.
Mara: This episode follows a series of posts introducing the Data Logistics Hub — covering what the concept is, why the pain points are real, how strategy and architecture hold it together, and what the actual components look like in practice.
Pip: Let’s start with the foundations — what the hub is and why it exists.
Continue reading25 Tuesday Aug 2026
Pip: Good Strategy Rebellion — where the sacred cows of enterprise tech get a proper going-over. Today we’re deep in the data wars, asking whether the industry’s favourite architectural revolution is actually a revolution, or just the same old chaos in a new lanyard.
Mara: Martyn Jones has been writing about exactly that — covering the case against Data Mesh, what it means for how organisations actually govern and use their data, and why the rational data warehouse keeps refusing to stay dead.
Pip: Let’s start with the bonfire.
Continue reading24 Monday Aug 2026
Pip: Good Strategy Rebellion — where the sacred cows of Silicon Valley come to be skewered, preferably with footnotes.
Mara: Today we’re in the territory Martyn Jones has been carving out: a full-scale critique of data architecture hype, the case against fashionable frameworks, and a defence of the unglamorous systems that actually work.
Pip: Coherence over chaos, basically. Let’s start with the bonfire.
Continue reading14 Saturday Feb 2026
Tags
agility, AI, Artificial Intelligence, Business, chatgpt, cloud, data architecture, Data governance, data hub, data management, Data Warehouse, data-logictics-hub, data-logistics-hub, data-marketing, data-on-demand, data-sharing, devops, digital-marketing, dlh, dw, protection, security, technology
Martyn Rhisiart Jones
Bandoxa, 15th February 2026
Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3
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.
Continue reading14 Saturday Feb 2026
Tags
agility, AI, Artificial Intelligence, Business, chatgpt, data architecture, Data governance, data hub, data management, Data Warehouse, data-logictics-hub, data-logistics-hub, data-marketing, data-on-demand, data-sharing, digital-marketing, dlh, dw, protection, security, technology
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.
Continue reading13 Friday Feb 2026
Tags
agility, AI, Artificial Intelligence, Business, data hub, Data Warehouse, data-logictics-hub, data-logistics-hub, data-on-demand, data-sharing, digital-marketing, dlh, dw, protection, security, technology
Martyn Rhisiart Jones
Bandoxa, 13th February 2026
In this episode, we begin by honestly examining the pain points that make data logistics so difficult today. The challenges are siloed data and systems. There are also many data interchange point solutions. Quality is inconsistent, and there are security and compliance barriers. Additionally, data volumes are exploding. We then explore the transformative opportunities. These include faster time-to-insight and seamless collaboration across teams and organisations. The opportunities also feature monetisable data products and AI-ready flows.
Continue reading12 Thursday Feb 2026
Tags
agility, AI, Artificial Intelligence, Business, data hub, data-logictics-hub, data-on-demand, data-sharing, digital-marketing, dlh, protection, security, technology
Martyn Rhisiart Jones
Bandoxa, 12th February 2026
Hold up there for a moment. Have I got something for you!
I may not be the father of Information Centres. I’m certainly not going to claim any of Bill Inmon’s achievements as my own. However, I have spent a professional lifetime wading in the data and information garlic. So, I do claim a rightful share of the credit.
And I am rightfully credited with founding the Data Logistics Hub design movement.
In an era where data is the lifeblood of organisations, it fuels decisions and powers AI. It enables innovation. It drives competitive advantage. The ability to move, integrate, share, and utilise that data efficiently has become a strategic imperative. Yet many enterprises still struggle with fragmented pipelines and siloed sources. They face compliance headaches and latency issues. There is also the sheer complexity of connecting data across clouds, on-premises systems, partners, and ecosystems.
Continue reading08 Sunday Feb 2026
Martyn Rhisiart Jones, Madrid 28th January 2026
I would like to introduce you to a pragmatic approach to Big Data and Big Data Analytics. It is real-world focused and business-centric. This is the best approach to Big Data you are ever likely to find. Yet, I am still significantly understating the magnificent utility. It is also timely and has all the pertinent facets of the approach.
Continue reading07 Saturday Feb 2026
Posted 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
Tags
AI, Artificial Intelligence, Big Data, bullshit, Business, c-suite, CEO, chatgpt, technology
Martyn Richard Jones
New York City, 18th January 2017
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.
04 Wednesday Feb 2026
Martyn Rhisiart Jones, Madrid, 4th February 2026.
In data modelling and database design, keys play a fundamental role in uniquely identifying records and defining relationships between tables. One of the most widely used types of keys, especially in analytical systems and data warehouses, is the surrogate key.
A surrogate key is an artificial, system-generated identifier assigned to a record in a table. It is typically used as the primary key. It has no business meaning or semantic relationship to the real-world entity it represents. Common implementations include auto-incrementing integers or globally unique identifiers (GUIDs).
Surrogate keys exist purely to serve the needs of the database system: performance, stability, and simplicity.
Continue reading03 Tuesday Feb 2026
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, data hub, Data Lake, data management, Data Mart, data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., The Amazing Big Data Challenge
By Martyn Rhisiart Jones | Madrid, 3rd February 2026
In a landmark session at the Welsh Academy, Sir Afilonius Rex sat down with Martyn Rhisiart Jones. They aimed to dismantle our outdated obsession with “data management.” The verdict? The era of the digital fortress is dead. In its place, a new paradigm of Cognitive Liquidity and Data Autonomy is emerging, redefining how we integrate global knowledge.
Continue reading03 Tuesday Feb 2026
Martyn Rhisiart Jones and the Goodstrat editorial team, Madrid, 3rd February 2026
The following is the redacted transcript of a conversation between the distinguished Sir Afilonius Rex of Cambriano Energy and the cordial Martyn Rhisiart Jones of goodstrat.com.
The informal session took place before an invited audience at the Welsh Academy’s alternative summer conference of July 2023 and featured a lively question-and-answer session with audience input.
According to our reliable sources, “The BBC, RTE and RTVE broadcast the session.”
Continue reading01 Sunday Feb 2026
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15 Thursday Jan 2026
Posted 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
Tags
AI, Artificial Intelligence, Big Data, chancers, charlatans, chatgpt, flim-flam-sauce, grifters, grok, technology, writing
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
21 Sunday Dec 2025
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Good Strategy Radio, goodstrat, Inform, educate and entertain., IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians
02 Sunday Jan 2022
Data Trailblazers: 2022 Vision
Martyn Richard Jones
2nd January 2022
Martyn Jones is Chief Scientist and Information Architect at Cambriano Energy, and is the author of Laughing @ Big Data he manages The Big Data Contrarian group on LinkedIn and blogs at goodstrat.com
So, the Christmas season is almost upon us, and it’s time once again to publish my brand-spanking new top twelve data trend predictions for the new year, 2022.
Continue reading05 Sunday Dec 2021
A few days ago, I published a blog piece that contained the following paragraphs:
I am quite a fan of many aspects that sit under the Data Mesh umbrella. However, when it comes to a proper fact-based understanding and analysis of the history, place and architecture (business, data and technical) of Data Warehousing the leading exponents of data mesh have it woefully wrong.
Therefore, the purpose of this blog article is to set the record straight.
However, it seems to be that denial and specious arguments, are the preferred weapons of choice, over simply and honestly engaging in a professional discourse about these concerns.
25 Thursday Nov 2021
I am quite a fan of many aspects that sit under the Data Mesh umbrella. However, when it comes to a proper fact-based understanding and analysis of the history, place and architecture (business, data and technical) of Data Warehousing, the leading exponents of data mesh have it woefully wrong.
Therefore, the purpose of this blog article is to set the record straight.
16 Saturday May 2020
I wrote an article that took to task purveyors of the data lakehouse nonsense. It got plenty of positive reactions and quite a few negative opinions. But what surprised me the most were the number of people who had already swallowed their pitch. Hook, line and sinker.
So why did I bother to express my opinions on the subject?
Continue reading15 Friday May 2020
Here are the ten golden rules of belief for surefire big data success:
Continue reading14 Thursday May 2020
Posted in All Data, Big Data, Big Data Analytics, dark data, data architecture, Data governance, data hub, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, European Union, Inform, educate and entertain., The Big Data Contrarians, The hidden wealth of nations
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REVEALING WEALTH: USING BIG DATA TO FIGHT TAX EVASION – MARTYN JONES
If anything, taxes for the lower and middle class and maybe even the upper-middle class should even probably be cut further. But I think that people at the high end – people like myself – should be paying a lot more in taxes. We have it better than we’ve ever had it.
Warren Buffett
Continue reading03 Wednesday Jul 2019
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Martyn Richard Jones
Our bloke in Brussels, 3rd July 2019
It’s a simple, timeless, human truth; data must adapt or die.
Read between the lines, the writing on the wall, the fat lady singing and the barking dogs at the gate.
Continue reading28 Thursday Dec 2017
Posted in All Data, Big Data, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Good Strategy Radio, goodstrat, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones
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Martyn Richard Jones
Gif sur Yvette, 27th December 2017
First, a thought.
Just because it’s there, it doesn’t mean it has to be done. Just because you can, it doesn’t mean that you should. Just because you believe you are right, doesn’t mean that you are not wrong.
Martyn Rhisiart Jones