Big Data is all pervasive, all seeing and all knowing.
Everyone is doing Big Data, and if they aren’t then they will. It’s inevitable.
Big Data will revolutionise the worlds of data, decision making and business.
Am I right, or am I right?

Big Data is all pervasive, all seeing and all knowing.
Everyone is doing Big Data, and if they aren’t then they will. It’s inevitable.
Big Data will revolutionise the worlds of data, decision making and business.
Am I right, or am I right?

“Half the time she did things not simply, not for themselves; but to make people think this or that; perfect idiocy she knew for no one was ever for a second taken in.” Virginia Woolf, Mrs. Dalloway
It’s all very well for the blithering Big Data bullshitter savants to now claim, after a massive exercise in u-turning, that Big Data isn’t after all about data volumes, velocities and varieties, but about some minor variation on the theme of data architecture, management and processing.
But, look at the mess! (more…)

Martyn Richard Jones
I have questions about data.
Most of us who have more than a cursory knowledge of the English language have heard of the phrase ‘too much information’. We know what it means, even if we don’t always know when to apply it.
For those who don’t know, or are unsure, the Urban Dictionary describes ‘too much information’ as “An expression of exasperation and disgust when a person is divulging personal details of his sex life, toilet habits, or anything the listener finds disgusting, uninteresting, and unwelcome.”[1]
Sum, sum. Just because we know it, doesn’t mean we should share it or even try and remember it, never mind go about analysing the hell out of it.
This is where Big Data comes in. (more…)

Martyn Richard Jones
When you have read this, if indeed you read it all, will I have failed to convey the essence of what I am trying to get at? Will a confusion of entropy win the battle? Will the wheel of fortune turn in my favour, or will I fail to connect and communicate effectively?
Let’s give it a spin and see what happens. (more…)

Martyn Richard Jones
Dusseldorf, August 2006
Data Warehousing provides possibly one of the best opportunities for IT organizations to deliver a valuable business solution in order to address a set of business needs; requirements that go well beyond the area of day to day operational support, and traditional applications (web enabled or not), and when Data Warehousing is done the right way, and for the right reasons, its payback to all of its stakeholders can be positively significant. (more…)

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Every year I ask myself the same question. Will there be any tangible, coherent and verifiable Big Data success stories in the coming year? Every year I come up with nothing. Nothing at all. “Sorry, no rooms at the Big Data Success Inn, as we are closed for vacations.”
However, this year things are different. More positive, more alive and more fantastic. (more…)

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Many thanks, Martyn.

Pundits far and wide are hailing the end of the period of big data babble, hyperbole and bullshit and are looking forward to an epoch of practical, tangible and verifiable Big Data success stories.
Gartner themselves came out some time ago and declared that Big Data was no longer in the hype cycle. Some took this as a sign that the Big Data bullshit bonanza was over, others were more cynical and suspected a highly orchestrated ruse, a move to the next level in the game plan.
But does this new attitude towards Big Data really ring true?
Accompanying this apparent bold openness, frankness and humility in the ranks of the rehabilitated Big Data bullshit babblers there is an awful lot of what appears to be ‘more of the same’. Or as the people of Thailand might say, “same, same, but different”.
As some of you might know, I am the administrative owner of The Big Data Contrarians community group on LinkedIn, and even I was somewhat taken aback by a recent piece by Bernard Marr entitled 20 Stupid Claims About Big Data. So much so that I wrote a fairly complimentary comment on LinkedIn about it. The thing is, even as a posted it I was thinking to myself “you’ll be sorry”.
Today I read yet another Big Data ‘reformation’ piece on LinkedIn Pulse, this time from Matthew Reaney and with the compelling title of The 5 Myths of Big Data.
Call me naïve, call me illusory, and a believer in humankinds need for basic decency, but I frequently have the idea that praising moderately acceptable behaviour leads to even more good behaviour. But it was not to be, and as fast as one could say ‘what the hell is going on here?’ back came a surfeit of astroturfed Big Data bananas – from all directions – bigger, brasher and more bogus than ever before.
Make no mistake, Big Data hype hasn’t gone away, it has become more subtle, more cunning and even more misleading.
Leading the charge is the initiative to discredit Data Warehousing by all means possible, and the amount of bullshit, disinformation and blatant lies doing the rounds is beginning to look like Big Data hype reflecting Big Data itself, if only in terms of the vast volumes, varieties and velocities that this Big Data babbling bullshit comes in.
But seriously, we are simply getting more of the same, as the end of the Big Data hype war is declared, we are subject to a bombardment of Big Data boloney via Cloud, IoT, the Hadoop ecosphere (as if using Hadoop was someone linked to ecology and saving the planet), and especially this incredibly obnoxious and dopey vehicle for Big Data tripe known widely as the Data Lake – more on that stupidity at some other time. But onwards and upwards…
This all reminds me of a joke from many decades ago, retold in part from memory.
A teacher was looking for a subject about which her class pupils could write, to set as a homework exercise.
After much deliberation she decided to as ask the children to write about what they thought of the police?
Sure, not a good question, I know, and as I stated, this was many decades ago, when even grown-ups could be innocent and naïve and hopeful.
Anyway, when the children had handed in all their essays, the teacher read the essays and was disappointed to find that most of them were very wishy-washy and that the children were almost all unanimously indifferent or grudgingly respectful of the police, except for one. One of the children, let’s call him Dave, was very critical and had written “I don’t think much of the police.” When the teacher asked Dave why he had written that, he replied “All police is bastards, Miss”. The teacher was vexed by the reply, but being a good and caring teacher she considered how she could change this obviously hostile view of the bobby on the beat and the police detective taking evil doers out of circulation, so she decided to do something about it.
She had a bright idea and took her problem to the police and discussed what could be done to give the children a much more positive view of the police and the work they did, so they would see the police as a necessary part of society, to be respected but not feared.
As a result, the teacher and the police organised a police day at the school. It was a big party, with lots of free goodies, badges and posters, rides in patrol cars, sirens, interesting stories and a movie, and a big discussion with the police dog handler and his faithful and brave police-dog, Ajax. The police took special interest in Dave, he was the one they wanted to convince the most, and he was the one they made the most fuss of.
At the end of the day, the teacher again asked the children to write about what they got from the school police day that she had organised.
The following Monday, after all the essays had been handed in by the children, she sought out and read Dave’s essay, eager with anticipation.
This time it contained the surprising phrase of “I really, really don’t think much of the police.”
Again, the teacher asked Dave why he had written what he had wrote, especially considering all the effort the police had gone to in order to leave a good and lasting impression with the children in general, and Dave in particular.
He simply replied “the Police is cunning bastards, Miss.”
Personally, I have respect for the professionalism, courage and hard work of many officers in our police forces, but when it comes to my view of certain Big Data pundits – and naming no names, just watch my eyes – the feeling is not the same.
Make of that what you will.
Many thanks for reading.
If you enjoyed this piece or found it useful then please consider joining The Big Data Contrarians: https://www.linkedin.com/grp/home?gid=8338976
Many thanks,
Martyn.

Stuff a really great Data Architect should know
If you enjoy this piece or find it useful then please consider joining The Big Data Contrarians:
Join The Big Data Contrarians here: https://www.linkedin.com/grp/home?gid=8338976
Many thanks. (more…)

Why so many ‘fake’ Big Data Gurus?
Where do you all come from?
Where do you all come from?
All your integrity’s gone
Now tell me, where do you all come from?
From ‘Where Do You All Come From‘ by Mott the Hoople (more…)