02 Sunday Jan 2022
Data Trailblazers: 2022 Vision
Martyn Richard Jones
2nd January 2022
Martyn Jones is Chief Scientist and Information Architect at Cambriano Energy, and is the author of Laughing @ Big Data he manages The Big Data Contrarian group on LinkedIn and blogs at goodstrat.com
So, the Christmas season is almost upon us, and it’s time once again to publish my brand-spanking new top twelve data trend predictions for the new year, 2022.
Continue reading10 Friday Dec 2021
Martyn Jones
10th December 2021
Martyn Jones is Chief Scientist and Information Architect at Cambriano Energy. For better or worse, he is known as the Big Data Contrarian. He is the author of the widely acclaimed eBook Laughing @ Big Data, available at amazon.com.
Tea with The Data Contrarian is a series of interviews around data and analytics.
Today, Martyn talks with the great Afilonius Rex on contemporary trends, fads, and fancies in data, analytics and more.
Continue reading05 Sunday Dec 2021
A few days ago, I published a blog piece that contained the following paragraphs:
I am quite a fan of many aspects that sit under the Data Mesh umbrella. However, when it comes to a proper fact-based understanding and analysis of the history, place and architecture (business, data and technical) of Data Warehousing the leading exponents of data mesh have it woefully wrong.
Therefore, the purpose of this blog article is to set the record straight.
However, it seems to be that denial and specious arguments, are the preferred weapons of choice, over simply and honestly engaging in a professional discourse about these concerns.
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 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 Wednesday Aug 2017
Posted in 4th generation Data Warehousing, All Data, Architecture, Big Data, Big Data Analytics, data architecture, Data governance, data management, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, information, Information Management, Information Supply Framework, IT strategy, Knowledge, knowledge management, Marketing, Martyn Jones, Martyn Richard Jones, Sales, structured intellectual capital, wisdom
Martyn Jones
Zurich, Switzerland – 3rd August 2017
If anyone can turn data into knowledge then that person is me.
Let me explain.
I am a data architecture and management professional. For more than three decades I have been acquiring knowledge and experience in the design and delivery of effective data and solutions architectures for a wide range of projects and in a wide range of (mainly large global or regional) enterprise clients.
Therefore I think I can reasonably presume to have built up quite a good personal body of knowledge when it comes to applied data architecture and management.
As well as being a professional in the management and architecture of data, I have also considerable knowledge and experience in the areas of information management, artificial intelligence and knowledge management (structured intellectual capital).
So, what about turning data or information into knowledge? Continue reading
GOOD STRATEGY 