Why buy when you can get it for free?
Back at you! Here is the third fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you. (more…)
Category: Big Data 7s
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Free Business Analytics Content –Thanks to Wikipedia – Part 2
Why buy when you can get it for free?Back at you! Here is the second fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you. (more…)
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Free Business Analytics Content –Thanks to Wikipedia – Part 1
Why buy when you can get it for free?Here is the first fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you. (more…)
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Testing the Data Warehouse
Martyn Richard JonesDusseldorf, 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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How Hadoop Revolutionised IT
This is the story of how the amazing Hadoop ecosphere revolutionised IT. If you enjoy it, then consider joining The Big Data Contrarians.Before the advent of Hadoop and its ecosphere, IT was a desperate wasteland of failed opportunities, archaic technology and broken promises.
In the dark Cambrian days of bits, mercury delay lines and ferrite cores, we knew nothing about digital. The age of big iron did little to change matters, and vendors made enormous profits selling systems that nobody could use and even fewer people could understand. (more…)
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In the Beginning was the Big Data Plan
In the beginning was the Big Iron, the Big Data, and the Big Data Plan.
And then came the Big Data Assumptions.
And the Big Data Assumptions were without form.
And the Big Data Plan was without substance.
And the Big Iron was without movement.
And the Big Data was without velocity, variety and volume.
And darkness was upon the face of the data workers.
And they spoke amongst themselves, saying: “Big Data, is a crock of shit, and it stinketh mucho”.
And the data workers went unto their Data Supervisors and said: “This here Big Data is a pile of putrid crappy keech”, for they were from Govan, and continued, “and none may abide the odour thereof”.
And the Data Supervisors went unto their Information Managers, saying: “Big Data is a container of excrement, and it is very strong, such that none may abide by it.”
And the Information Managers went unto their Business Directors, saying: “This here Big Data doodoo is a vessel of fertilizer, and none may abide its strength.”
And the Business Directors spoke amongst themselves, saying to one another: “Big Data contains that which aids plant growth, and it is very powerful.”
And the Vice Presidents went unto the President, saying unto him: “This new Big Data will actively promote the growth and vigour of the company, with powerful effects.”
And the President looked upon the Big Iron, the Big Data and the Big Data Plan, and saw that they were good.
Many thanks for reading
Join The Big Data Contrarians
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Stories From the Data Warehousing Front-Line
NB THIS IS FICTIONAll characters appearing in this work are fictitious. Any resemblance to real persons, living or dead, is purely coincidental.
Data warehousing, what is it like?
Although the answers are probably obvious, and to be honest, compared to the Big Data hype-circus, this is a walk in the park, I have often wondered why Data Warehousing attracts such a surfeit of lazy, socially inept and shallow-thinking chancers. (more…)
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12 Amazing Big Data Success Stories for 2016
If this piece tickles your fancy, then please consider joining The Big Data Contrarians on LinkedIn:
https://www.linkedin.com/groups/8338976
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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Big Data 7s: Talking Points #1
Martyn Richard Jones
To begin at the beginning
This is the first in a series of collections of talking points on the processing of extensive data sets by non-relational or pseudo-relational means, speculative data analytics with these large data sets which is typically non-operational data and social media data obtained from internet sources, and how usable outcomes, if any, are derived, can be integrated into strategic, tactical and operational decision support. (more…)
