GOOD STRATEGY REBELLION

Category: data science

  • CONSIDER THIS: Big Data Inertia

    CONSIDER THIS: Big Data Inertia

    “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…)

  • Free Business Analytics Content –Thanks to Wikipedia – Part 5

    Free Business Analytics Content –Thanks to Wikipedia – Part 5

    Why buy when you can get it for free?

    Back at you! Here is the fifth 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…)

  • Too Much Information

    Too Much Information

    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…)

  • Free Business Analytics Content –Thanks to Wikipedia – Part 4

    Free Business Analytics Content –Thanks to Wikipedia – Part 4

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    Why buy when you can get it for free?

    Back at you! Here is the fourth fantastic delivery of an amazing, fabulous selection of free, widely available business analytics learning content, prepared… just for you. (more…)

  • Free Business Analytics Content –Thanks to Wikipedia – Part 3

    Free Business Analytics Content –Thanks to Wikipedia – Part 3

    Image4Why 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…)

  • Free Business Analytics Content –Thanks to Wikipedia – Part 2

    Free Business Analytics Content –Thanks to Wikipedia – Part 2

    Image3Why 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…)

  • Free Business Analytics Content –Thanks to Wikipedia – Part 1

    Free Business Analytics Content –Thanks to Wikipedia – Part 1

    Image2Why 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…)

  • Testing the Data Warehouse

    Testing the Data Warehouse

    Image1Martyn 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…)

  • How Hadoop Revolutionised IT

    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…)

  • In the Beginning was the Big Data Plan

    In the Beginning was the Big Data Plan

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    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

    The Big Data Contrarians