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Tag Archives: Data Warehouse

Grok, What Do You Make of Martyn Rhisiart Jones’ Take on Big Data?

15 Sun Feb 2026

Posted by Martyn Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

Big Data, blog, data hub, data lake, Data Mart, Data Warehouse, featured, frauds, grifters, hype, inspiration, travel


Sir Afilonius Rex,

London, 15th February 2026

Me: What do you make of Martyn Jones of goodstrat.com’s views on big data, are they correct, close or not true?

[Grok thought for a while]

Grok: Martyn Jones (of goodstrat.com) is one of the sharpest, most entertaining data contrarians out there. He’s been calling “Big Data” mostly bullshit since around 2014–2015, long before it became fashionable to say so. His Core Views (in his own blunt style): The whole 2010s Big Data circus (Hadoop, the 3Vs turned into 12 Vs including Vagueness, Vendibility, Vulgarity, etc.) was 80–90% vendor hype, consultant grift, and marketing snake oil.
Most companies didn’t (and still don’t) have Google/Facebook-scale problems. Chasing petabytes of unstructured social media noise often distracted companies. They were diverted from cleaning and using the high-value operational data they already had.

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

14 Sat Feb 2026

Posted by Martyn Jones 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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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


OLYMPUS DIGITAL CAMERA

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 Martyn Jones 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

≈ Leave a comment

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


OLYMPUS DIGITAL CAMERA

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 Martyn Jones in Inform, educate and entertain.

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Tags

AI, Artificial Intelligence, aws, azure, Business, chatgpt, Data Warehouse, Data Warehousing, databricks, ia, inteligencia-artificial, oracle, snowflake, technology, tecnologia


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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Building the Data Logistics Hub: The Challenges and Opportunities – 2026/02/13 – Part 1

13 Fri Feb 2026

Posted by Martyn Jones 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

≈ Leave a comment

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


OLYMPUS DIGITAL CAMERA

This is the brave new world of data!

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.

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Data Warehouse Action: Big Business Drivers

11 Wed Feb 2026

Posted by Martyn Jones in Inform, educate and entertain.

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Tags

AI, Artificial Intelligence, Business, Data Mart, Data Warehouse, digital-marketing, drivers, imperatives, technology, urgency


Masterclass on the side!

Martyn Rhisiart Jones

Madrid, Saturday 31st January 2026

Martyn: The Enterprise Data Warehouse should be driven by business demand and nothing else.

Ed: What does that mean in practice?

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

11 Wed Feb 2026

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

≈ Leave a comment

Tags

Analytics, Big Data, books, Data Mart, Data Warehouse, Data Warehousing, enterprise data warehousing, Good Strat, Good Strategy, google, Martyn Jones, Martyn Richard Jones, News, sports, technology


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

Posted by Martyn Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, Analytics, Artificial Intelligence, Business, chatgpt, cloud, data mesh, Data Warehouse, data-lakehouse, llm, medallion-architecture, technology


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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העידן החדש של מחסום הנתונים: מהפכה טכנולוגית

21 Sun Dec 2025

Posted by Martyn Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, Analytics, Artificial Intelligence, azure, cloud, data mesh, Data Warehouse, data-lakehouse, llm, medallion-architecture, technology


Martyn Rhisiart Jones

Segovia, 21st December 2025

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L’évolution des entrepôts de données en 2025/2026

21 Sun Dec 2025

Posted by Martyn Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, almacen-de-datos, Analytics, Artificial Intelligence, Bill Inmon, blog, cloud, data mesh, Data Warehouse, data-lakehouse, espanol, francais, france, french, ia, Inmon, inteligencia-artificial, italiano, libri, llm, medallion-architecture, non-classe, senza-categoria, technology


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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  • X Is Dying In Europe: Here’s Why – Revisited – 2026/02/16
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