Category Archives: Data Warehouse

Here’s a thought… A Date with Codd

18 Sat Mar 2017

Posted by in All Data, 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 Strategy, Inform, educate and entertain., information, Information Management, Information Supply Framework, IT strategy, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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SBMartyn Richard Jones

Carmarthen 18th March 2017

This is a second collection of snippets; ideas and occurrences that are aimed to provoke critical thought and engagement.

As I stated in the first of these articles, “Most people who know me, at least in a professional capacity, will know that I am no unconditional supporter of Data Warehousing, never mind the more plague ridden swamps inhabited by Big Data, Data Lakes, Travelling IoT, Dodgy Data Science, Instant Data Scientists (just add water) and New-Age Machine Learning. So, many will not be surprised by this heterogeneous post-modern pastiche of ideas, impressions and bagatelles.”

I have extended the original scope of these posts to include any thought on themes of strategy, data, technology, process, business and humanity. Continue reading →

Contextual Aptitude: The Next Great Thing… Again

16 Thu Mar 2017

Posted by 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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IMGContextual Aptitude: The Next Great Thing… Again

Martyn Jones

Birmingham 15th March 2017

What is Contextual Aptitude (also known as End User Intelligence)?

For starters, it’s a rubbish term for an extra-crucial business-centric concept of gravity-defying, cosmos-rallying, mega-mega importance.

Continue reading →

Data Mart in a Box: The Next Great Thing – Placeholder only

16 Thu Mar 2017

Posted by 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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AppleStoreData Mart in a Box: The Next Great Thing

Please note that this is a placeholder for a piece that is currently being reviewed by an architectural and IP team. Don’t want to give away too many secrets.

Martyn Jones

Carmarthenshire 16th March 2017

What is a Data Mart in a Box?

Continue reading →

Here’s a Thought… A Mere Data Bagatelle

14 Tue Mar 2017

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, 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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OLYMPUS DIGITAL CAMERA

A field of dreams

Most people who know me, at least in a professional capacity, will know that I am no unconditional supporter of Data Warehousing, never mind the more plague ridden swamps inhabited by Big Data, Data Lakes, Travelling IoT, Dodgy Data Science, Instant Data Scientists (just add water) and New-Age Machine Learning. So, many will not be surprised by this heterogeneous post-modern pastiche of ideas, impressions and bagatelles.

Continue reading →

Post-truth, Fake-news and Big Data

02 Thu Feb 2017

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Richard Jones

Lora del Rio, 2nd February 2017

image10

post-truth – ADJECTIVE – Relating to or denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief.

fake news – a type of hoax or deliberate spread of misinformation in social media or traditional news media with the intent to mislead in order to gain financially or politically.

Big data – a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them.

If we believe the presses, and who wouldn’t, we are living in an age of post-truth, fake-news and Big Data.

Actually, none of this is new, not even the amazing volumes, varieties and velocities of boloney that surrounds the Big Data bandwagon. In fact, the big porky technique (a.k.a. the big lie) was invented when Anglo-Saxon cynicism was in its infancy.

Continue reading →

Big Data is Bullshit – 2017

19 Thu Jan 2017

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, disinformation, governance, Inform, educate and entertain., information, Information Management, Information Supply Frameowrk, Information Supply Framework, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Marty Richard Jones

Mountain View, 19th January 2017

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

If you enjoy this piece or find it useful then please consider joining The Big Data Contrarians. Continue reading →

What Every CEO Needs to Know About Big Data

18 Wed Jan 2017

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, business, Business Intelligence, business strategy, dark data, data architecture, Data governance, Data Lake, data management, 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

New York City, 18th January 2017

OLYMPUS DIGITAL CAMERA

Blue sky for professional data architecture and management

Scope

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

01 Sun Jan 2017

Posted by in accountability, agile, All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, 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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Mount_Everest_as_seen_from_Drukair2_PLW_editBig Data Predictions for 2017

Prologue

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

17 Sat Dec 2016

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, 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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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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Seven Magnificent Big Data Success Stories

31 Wed Aug 2016

Posted by in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, Cambriano, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, good start, Good Strat, Good Strategy, goodstart, goodstartegy, goodstrat, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Mount_Everest_as_seen_from_Drukair2_PLW_editMartyn Richard Jones

Lora del Rio, 31st August 2016

Big data has arrived. Big Data is here for keeps. Big Data is the future.

Despite some of the malicious, mendacious and malodorous words of naysayers, sceptics and contrarians, the world of big data and big data analytics is replete with totally amazing and fabulous success stories.

Big Data gurus are often accused of not delivering coherent, cohesive and verifiable accounts of Big Data successes. Which is understandable but at the same time a pity. So here, to illustrate this miraculous and remarkable turnaround, I give you not three but seven of the many Big Data success stories that I could have casually grabbed out of the ether.

First, we take a trip to Glasgow to discover the leveraging of Big Data in alternative investments. Then we pass over to Boston to explore the magic of Big Data at Universal Legal. We venture through Switzerland and innovative marketing. Explore the heights of Dongalong Creek. Have a word with the good folks at Heisenberg Labs. Then round it off with a quick in-depth summary of Big Data at Choppers. So, here we go…

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