Big Data is Bullshit – 2017

Marty Richard Jones

Mountain View, 19th January 2017

“I’ve been accused of vulgarity. I say that’s bullshit.” – Mel Brooks

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Why I Really Like LinkedIn

It’s not something I have thought about a lot. But, apropos of nothing, a question came to mind. That question, as if you couldn’t guess by now, was “why do I like LinkedIn?”

Well, here is my first attempt at addressing this question.

I really like LinkedIn because:


Sunny, Guadalajara

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What Every CEO Needs to Know About Big Data

Martyn Richard Jones

New York City, 18th January 2017


Blue sky for professional data architecture and management


I’ll make this short, sweetish and to the point.

These are the arguments that CEOs need to know about Big Data.

It was written for CEOs and those who provide independent advice to CEOs.

If you are someone who wants to be prepared for CEOs who are armed with the realities of Big Data, then maybe this is for you too. Continue reading

Big Data Predictions for 2017

Mount_Everest_as_seen_from_Drukair2_PLW_editBig Data Predictions for 2017


You want Big Data predictions for 2017?

You’ve got ’em!

These are my Big Data, Data Warehousing and Analytics extrapolations for 2017. They are based on extensive, exhaustive and enigmatic work carried out by top-notch researcher gurus at Cambriano Energy, between December 2015 and December 2016.

So, stick with us as we survey the landscape that will be Big Data in 2017. Continue reading

Data on the Edge of Time and Place

image12Big Data on the Edge

This is all about data governance, time-and-place utility and striving to do the right, things right, first time and every time.

First up. Having been responsible for R&D in this area in the eighties I can honestly say that Analytics ‘on the edge’ is nothing new. So this is leading edge, not bleeding edge.

That stated, the big ‘Big Data’ vendors are finally catching up with the concept of data processing ‘on the edge’, a late adoption which has been accompanied by a flurry of fluffy and content-averse articles hailing this “new” (actually it isn’t new at all) approach to Big Data, the Internet of Things and Analytics ‘On The Edge’.

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BREXIT: Where’s Theresa May’s Plan B?

image12Martyn Richard Jones

Dublin, 10th September 2016

Theresa May, as Prime Minister of Her Majesty’s Government, has overall responsibility for organising the United Kingdom’s retreat from the European Union.

But, Theresa May has a problem, she doesn’t appear to have a detailed plan for Brexit, at all.

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UK POLITICS: The Jeremy and Owen Show

image10Martyn Richard Jones

Mountain View, Friday 9th September 2016

Although I am not a Labour voter, I, like many people across the UK, have been following the Labour Party leadership debates, which have seen the incumbent Labour leader Jeremy Corbyn and Labour MP Owen Smith battling it out in public. And although it’s not up there with Itchy and Scratchy, it still provides some surprisingly irritating entertainment interspersed with facts, fiction, Pontypandy bitchiness and Islington exasperation.

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BREXIT: Theresa May’s Catch-22

image7Martyn Richard Jones

Bamberg, 8th September 2016

Months have passed since the United Kingdom held its European Union membership referendum which resulted in a ‘win’ for the pro-leave Brexiteers. Yet the strongest signal coming out of London is that the government is stalling; playing for time. Clearly, as yet, the government hasn’t worked out in any real, concrete or detailed terms what it should be doing or where the country should be going or what it can even say to the array of stakeholders and interested parties. Which, given that Brexit is by far the biggest constitutional challenge in my lifetime, is quite problematic.

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BREXIT: The Martyn Jones Solution


Martyn Richard Jones

San Lorenzo de El Escorial, 3rd September 2016

On the 23rd of June the UK held a popular referendum. The question posed to the people was: “Should the United Kingdom remain a member of the European Union or leave the European Union?” A simple choice between remain or leave.

Leave received more votes than remain, at 52% versus the 48% who voted for remain.

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Amazing Uses of Big Data at ISIS

Martyn Richard Jones

Langley, 2nd September 2016

Few outside of the big intelligence agencies of the USA, Russia and Andorra know this, but a big part of the success of Operational Excellence at ISIS can be put down down to their judicious use of Big Data and Data Science. Or, so say the experts[i].

This will probably come as no surprise to big-gun Big Data gurus such as Bernard Marr, Rab C. Nesbitt or Alan Latchley, or indeed will it appear unusual to the more peripheral and intellectual areas of Big Data ‘guruship’ and Data Scientology, where we may find the likes of Shapiro, Kobielus and Podge and Rodge O’Leprosy.

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