11 Wed Feb 2026
Posted in Inform, educate and entertain.
Tags
AI, Artificial Intelligence, Business, Data Mart, Data Warehouse, digital-marketing, drivers, imperatives, technology, urgency
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?
Continue reading11 Wed Feb 2026
Posted in Big Data, Consider this, Data Warehousing, Good Strat, hadoop, hdfs, Martyn Jones
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.
Continue reading09 Mon Feb 2026
Posted in Inform, educate and entertain.
Tags
AI, Artificial Intelligence, azure, cloud, databricks, scam, technology
Martyn Rhisiart Jones
Madrid, Monday 9th February 2026
You need not loathe Databricks outright. It is perfectly defensible if you do. This is particularly true when your principal objective is classical data warehousing. This includes structured BI reporting, dependable SQL analytics, and a governed single source of truth for business metrics. It also entails semantic clarity and predictable costs for read-heavy workloads.
There are solid, well-trodden reasons for that caveat. Many experienced data warehousing practitioners see Databricks as an awkward or even risky primary platform for traditional warehousing. This view is shared by some of the field’s foundational figures. The concern is not ideological. It is architectural. When used as a warehouse, Databricks often reproduces exactly the pathologies criticised in enterprise data programs. These include unnecessary complexity, misdirected effort, and the perennial executive question, “Which number should I trust?”
Continue reading08 Sun 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 Sat Feb 2026
Tags
agile, AI, Artificial Intelligence, bullshit, Business, safe, scrum, technology
Martyn Rhisiart Jones
Bruxelles, 28th May 2019
To paraphrase the great Bob Hoffman. Just when you feared that Agile evangelists might produce even more nonsense, they surprise you. What do they do? Exceed expectations.
And how did they do that? Ladies and gentlemen, let me introduce you to Agile at Scale. It comes with all the miscellaneous, spiced-up, and vainglorious crap-on-the-side that accompanies it.
Continue reading07 Sat 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.
06 Fri Feb 2026
Posted in Inform, educate and entertain.
Madrid, Saturday 7th February 2026
Books from Martyn Rhisiart Jones https://www.amazon.es/stores/author/B086K5B97Y
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.”
Continue reading04 Wed Feb 2026
Martyn Rhisiart Jones
Bonn, Germany, 2014
Many people come up to me in the street and ask me what big-data is all about. I have experienced this numerous times before. I am sure it might just happen to you as well. I know sort of thing, I read the big-data tea leaves. Nothing gets past me.
Continue reading03 Tue 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 reading21 Wed Jan 2026
Posted in Inform, educate and entertain., Polemic
Tags
AI, Artificial Intelligence, charlatans, chatgpt, grift, hype, lies, llm, technology
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.
Continue reading
GOOD STRATEGY 