14 Tuesday Mar 2017
Posted 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
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.
02 Thursday Feb 2017
Posted 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
Martyn Richard Jones
Lora del Rio, 2nd February 2017
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.
26 Thursday Jan 2017
Posted in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, Data Supply Framework, Extract, Good Strategy, goodstart, governance, Inform, educate and entertain., Information Management, Information Supply Frameowrk, Information Supply Framework, IT strategy, Strategy, The Big Data Contrarians
Martyn Richard Jones
Mountain View, 22nd January 2015
This article is the first in a series of articles that discuss aspects of the use of architectural patterns in the Cambriano Information Supply Framework 3.0
The term architectural pattern may sound grand, misleading or daunting, but it’s really quite a simple concept. It’s like writing a function in a programming language to log in to a database, check that the connection is alive and working and report back the success of the connection request. If that function can be reused either in the same application development, in the same IT shop or in IT in general (e.g. Java code to connect and test the connection to SQL Server) then it’s well on its way to becoming an architectural pattern. Of course, there are much more sophisticated architectural patterns. But generally a pattern is a simplified and generic template for address a generally occurring problem. But as with much in architecture, less usually turns out to be more.
19 Thursday Jan 2017
Posted 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
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
18 Wednesday Jan 2017
Posted 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
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
01 Sunday Jan 2017
Posted 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
Big Data Predictions for 2017You 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
17 Saturday Dec 2016
Posted 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
Big 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’.
31 Wednesday Aug 2016
Posted 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
Martyn 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…
29 Monday Aug 2016
Posted in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business, Business Intelligence, business strategy, dark data, data architecture, Data governance, Data Lake, data management, good start, Good Strat, Good Strategy, goodstart, goodstartegy, goodstrat, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones
Once upon a time, there was a mountain known as Peak 15. Very little was known about it. Then in 1852, surveyors found it was the highest in the world, and they named it Everest.
As with other significant challenges that we can identify in life, many people have been driven by a passionate desire to conquer peaks all around the world. This is just one illustration of those of us who can identify their significant challenges and rise to them. This sharp focus, determination and courage turns ordinary citizens into people who are invariably on a mission. People who know what they want. Continue reading
29 Tuesday Mar 2016
Posted in All Data, Analytics, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, Commercial Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones, pig data, sentiment analysis, The Amazing Big Data Challenge, The Big Data Contrarians
Martyn Richard Jones
I first became involved in commercial analytics in the eighties. First, through my involvement in customer segmentation and data visualisation, principally in banking but also in energy, manufacturing and the chemical industry. It also emerged later, in conjunction with my activities at the Sperry European Centre for AI, and was centred on pricing and yield management applications developed using a combination of statistical techniques, expert system technology and data centre architectures all tightly integrated within a 4GL development and delivery environment. This provided a comprehensive and seamless scenario building, hypothesis testing and reporting capability. Continue reading
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