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 reading03 Wednesday Jul 2019
Posted 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
inMartyn 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 reading07 Saturday Oct 2017
Posted 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
inTags
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 Sunday Jul 2017
Posted 4th generation Data Warehousing, 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, pig data, The Amazing Big Data Challenge, The Big Data Contrarians
inAfilonius 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.
28 Sunday May 2017
Posted 4th generation Data Warehousing, 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, pig data, The Amazing Big Data Challenge, The Big Data Contrarians
inMartyn 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
18 Thursday May 2017
Posted 4th generation Data Warehousing, 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, IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians
inMartyn Richard Jones
Laugharne 18th May 2017
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.
13 Saturday May 2017
Posted 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, SMILES, TEAM, The Amazing Big Data Challenge, The Big Data Contrarians
inThis 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.
Many thanks for reading.
09 Tuesday May 2017
Posted 4th generation Data Warehousing, 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, IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians
inMartyn 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
16 Sunday Apr 2017
Posted 4th generation Data Warehousing, 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, Marketing, pig data, Sales, The Amazing Big Data Challenge, The Big Data Contrarians
inTags
Martyn Richard Jones
San Luis Obispo 16th April 2017
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
15 Saturday Apr 2017
Posted 4th generation Data Warehousing, All Data, Ask Martyn, 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, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, The Amazing Big Data Challenge, The Big Data Contrarians
inMartyn Jones
Madrid 25th January 2017
HERE’S A THOUGHT! In the past age of big iron, the only reason for not having a proliferation of duplicated databases was the prohibitively high cost of disk storage. Now, we can let our database collections grow ‘like Topsy’. This is the Brave New World of data… apparently…
Let’s, for one moment, be the fly-guy on the corporate wall. What are we picking up on the radar there, Enda? Oh, yes…
15 Saturday Apr 2017
Posted 4th generation Data Warehousing, 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, goodstrat, IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians
inMartyn Richard Jones
Baile Átha Cliath
2017 Martyn Richard Jones
It’s Easter in Baile Átha Cliath, and thoughts naturally turn to purple-shrouded, sombre-shadowed and mystical aspects of bereavement, resurrection and bunnies.
Which may go some way to explain why people come up to me in the street, and apropos of nothing, ask me about what is the biggest reason why Data Warehousing projects fail.
Try as I might, I cannot convince people that the reasons I give have any validity. It’s as if the mundaneness of the stupidity involved in these failures is just too frivolous, banal and immature as to be believable or even worth listening to.