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Category Archives: Data Lake

Information Technology Mirror Balls!

12 Friday Jul 2019

Posted by Martyn Jones in AI, All Data, Artificial Intelligence, blockchain, Cloud, data hub, Data Lake, IoT, machine learning

≈ 1 Comment

Coffee and cakes for breakfast
On the Way of Saint James

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 reading →

Data must adapt or die!

03 Wednesday Jul 2019

Posted by Martyn Jones 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

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 reading →

Three really stupid things you can do with a Data Lake

28 Thursday Dec 2017

Posted by Martyn Jones in 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, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones

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Martyn Jones

OLYMPUS DIGITAL CAMERAMartyn Richard Jones

Gif sur Yvette, 27th December 2017

To begin at the beginning

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.

Continue reading →

Business Data Explained: The Long Read

07 Saturday Oct 2017

Posted by Martyn Jones 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

≈ 1 Comment

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data

Martyn Richard Jones, Gif sur Yvette 23rd September 2017

Integrity

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 →

STRAIGHT TALK: 5 Simple Tips to Help You Survive the Big Data Bullshit Revolution

02 Sunday Jul 2017

Posted by Martyn Jones in 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, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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data integration, data management

Image1Afilonius 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.

Continue reading →

Become an Instant Big Data Rock Star with 10 Insider Tips from the Top

28 Sunday May 2017

Posted by Martyn Jones in 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, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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002Martyn 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 →

How to turn internal user data into a massive liability – Zéro pièce

18 Thursday May 2017

Posted by Martyn Jones 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

≈ 1 Comment

5

Martyn Richard Jones

Laugharne 18th May 2017

“Our discreditable secret is that we don’t know anything at all, and our horrid inner secret is that we don’t care that we don’t.”

― Dylan Thomas

Let me explain

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.

Continue reading →

TEAM 2.0 Total Eminence Analytical Mapper – The highest level architecture

13 Saturday May 2017

Posted by Martyn Jones 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

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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.

TEAM2

Many thanks for reading.

Data-Less Apps: Revolutionary IT

09 Tuesday May 2017

Posted by Martyn Jones 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

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Image1Martyn 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 →

Brand Aversion: Exhibit One

16 Sunday Apr 2017

Posted by Martyn Jones 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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Business, Marketing, Martyn Richard Jones, Rant, Sales

Martyn Richard Jones

San Luis Obispo 16th April 2017

La-mode-sur-tous-les-tableauxTaking a Pop at Traditional Data Warehousing

Pitch: 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 →

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