09 Tuesday Jun 2020
Posted in All Data, Big Data, Big Data Analytics, Data Mart, Data Warehousing
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Martyn Richard Jones
Oza dos Rios 9th June 2020
REMEMBER! BUY MY BOOK! LAUGHING@BIGDATA
The purpose of language is to communicate—usually the conveyance of meaning from one entity to another. The value of communication is based on the availability of timely, appropriate and adequate information. In this way, it is positive. But communication can also be used to manipulate, deceive and confuse.
Continue reading17 Sunday May 2020
Martyn Richard Jones
Bonn; Germany
LINK: Laugh at Big Data – download my ebook for free on 17th May.
Many people come up to me in the street and ask me what big-data is all about. It has happened to me so many times in the past that I am convinced that 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 reading16 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, Europe, European Union, Inform, educate and entertain., 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
Martyn Richard Jones
Brussels, 10th July 2019
The other day, I heard the aimless, timeless and fatuous claim that data is like an onion, and as you peel away the data-layers of the data-onion the data-onion-detail will become clearer.
Is it me, or is this someone who has never ever chopped up an onion in their life?
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 reading07 Friday 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 Sunday 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
11 Saturday May 2019
Posted in AI, All Data, Big Data, deep learning, Inform, educate and entertain.
Martyn Richard Jones
Bruxelles, 29th April 2019
In spite of or perhaps because of the many years I worked in artificial intelligence I believe that the current long-distance love affair with AI and what is also euphemistically termed ‘deep learning’ to be somewhat irrational in its exuberance.
In the eighties I was experimenting with automatic feature extraction, pattern recognition and parallel distributed processing (see Rumelhart and McClelland), which led me to adaptive neural networks.
As a result, my research and development in this field showed me that automatically mining nuggets of gold or automatically gaining real insight from data is not easy, far from stable and frequently not achievable. Interesting experiments, but frequently impractical in a business setting. Continue reading