Brussels 7th June 2019
Martyn Richard Jones
By all accounts Hadoop is heading down the pan and bits of big data are not that far behind.
But should we rejoice?
Continue reading07 Fri Jun 2019
Brussels 7th June 2019
Martyn Richard Jones
By all accounts Hadoop is heading down the pan and bits of big data are not that far behind.
But should we rejoice?
Continue reading12 Sun May 2019

Martyn Richard Jones
Brussels, 12th May 2019
It has recently been revealed that political campaigns are taking the unprecedented step of hiring the services of consulting companies that will assist them in reaching, convincing and influencing voters.
This is a scandalous abuse of power, privilege and technology.
Big Data and data science are being used on a massive scale to manipulate political elections, control voter behaviour and to undermine constitutional democracy and the rule of law. There is no doubt about this; I read it on the internet. Continue reading
12 Tue Dec 2017

Martyn Richard Jones
Gif sur Yvette, 12th December 2017
Just because it looks like a bunch of half-baked crap, based on some well shoddy ideas and made by a surfeit of half-arsed chancers, doesn’t mean that it is, does it…
Even though it is.
Sorry! But, I digress.
If the Hadoop ecosphere were a box of chocolates, it would come in fantastic packaging that would make the grandest of Belgian chocolatiers emerald green with envy.
07 Sat Oct 2017
Martyn Richard Jones
Gif sur Yvette 7th October 2017
In my life, I have never seen such a destructive and mindless movement in data architecture and management as that which has been nurtured, groomed and promoted by those who labour relentlessly, perfidiously and insidiously to ensure the continued and simultaneously unbelievable relevance of disruptive corporate-terrorising Big Data bullshitters, venomous data-oil hucksters and PowerPoint enabled know-nothing digital-arseholes. Continue reading
07 Sat Oct 2017
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
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Martyn Richard Jones, Gif sur Yvette 23rd September 2017

Hi, Friends. As always, it’s great to be able to engage with you again. I am writing to you from the splendorous, wooded and verdant French town of Gif sur Yvette, and I wanted to take this opportunity to address aspects of data for an audience beyond the interests of data management and architecture people.
There is confusion about some of the fundamental aspects of business data, and there shouldn’t. If we strip away all of the boloney, it’s a subject that is quite approachable. In short, ‘it is not rocket surgery’. Continue reading
18 Thu May 2017
Posted in All Data, Ask Martyn, 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, Good Strat, Good Strategy, Good Strategy Radio, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

Martyn Richard Jones
Laugharne 18th May 2017
I read a poster the other, it read “How To Turn Internal User Data Into Revenue”. It was one of those Facebook or LinkedIn hooks, you know, the ones used to get people to spend precious time on useless pursuits.
It reminded me of a book that my mother-in-law bought for my partner, many, many moons ago. “How to make a mint whilst you snooze”, or some such wacky title.
13 Sat May 2017
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, SMILES, TEAM, The Amazing Big Data Challenge, The Big Data Contrarians
This is the draft version of TEAM 0.1
The TEAM 2.0 version will be published in June 2017.
This will by far the best and most streamlined and comprehensive analytics and (big) data framework that has ever existed in the life-time of IT.

Many thanks for reading.
10 Wed May 2017
Martyn Richard Jones
Dublin 10th May 2017
Throw AI, Big Data and Data Science into a pot, and what have you got?
Yes. A pig’s breakfast, not fit for a pig.
09 Tue May 2017
Posted in All Data, Ask Martyn, 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
Martyn Richard Jones
Dublin 9th May 2017
Weighed down with data?
Inundated with information?
Overstrained with knowledge?
Intimidated by wisdom?
Don’t despair!
Relief from all of this is just be around the corner, in the shape of the next revolutionary inflection point in IT. Yes, as you might have guessed it by now. I am talking about data-less apps. Continue reading
16 Sun Apr 2017
Posted in advertising, 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., Marketing, pig data, Sales, The Amazing Big Data Challenge, The Big Data Contrarians
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Martyn Richard Jones
San Luis Obispo 16th April 2017
Taking a Pop at Traditional Data WarehousingPitch: I recently read a report from a data visualisation company on the “Top Ten Big Data Trends for 2017”. This is what they told me “Hadoop is no longer just a batch-processing platform for data-science use cases. It has become a multi-purpose engine for ad hoc analysis. It’s even being used for operational reporting on day-to-day workloads—the kind traditionally handled by data warehouses.” Continue reading