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 4th generation Data Warehousing, 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, Europe, European Union, Tax avoidance, Tax evasion, The Big Data Contrarians, The hidden wealth of nations
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 reading12 Friday Jul 2019
Posted in AI, All Data, Artificial Intelligence, blockchain, Cloud, data hub, Data Lake, IoT, machine learning
Martyn Richard Jones
Brussels, 10th July 2019
As George Burns put it “the key to success is sincerity” and “if you can fake that you’ve got it made.”
He was right, and you don’t need to go any further than the bizarre world of information technology, with its plethora of professional bulllshit artists, to work this one out.
Think of these folk as IT bullshit whisperers.
Continue reading03 Wednesday Jul 2019
Posted in 4th generation Data Warehousing, 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, 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 4th generation Data Warehousing, All Data, Ask Martyn, 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, 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.
07 Saturday Oct 2017
Posted in 4th generation Data Warehousing, 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, 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
02 Sunday Jul 2017
Posted in 4th generation Data Warehousing, 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, pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Afilonius Rex
Dunny on the Wold, 1st July 2017
The 4th big data bullshit is here, and it is completely reimagining the way we conceptualise, think and reason. This amazingly and imaginary Govesque world is driven by hyperbole and mendacity distributed via interconnected digital devices that are capable of amassing and fermenting ever-growing amounts of big data bullshit.
28 Sunday May 2017
Posted in 4th generation Data Warehousing, 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, humour, pig data, The Amazing Big Data Challenge, The Big Data Contrarians
Martyn Richard Jones
Talacharn, 28th May 2017
Folks! Here I bring you ten amazing tips from some of Big Data’s great and good. Tips that will help you become the Big Data Rock Star that you have always dreamed of being.
But first, a question.
What’s the sexiest job in the 21st century? Continue reading
18 Thursday May 2017
Posted in 4th generation Data Warehousing, 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, 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.
