GOOD STRATEGY

Category: data architecture

  • Here’s a thought… A Date with Codd

    Here’s a thought… A Date with Codd

    SBMartyn Richard Jones

    Carmarthen 18th March 2017

    This is a second collection of snippets; ideas and occurrences that are aimed to provoke critical thought and engagement.

    As I stated in the first of these articles, “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.”

    I have extended the original scope of these posts to include any thought on themes of strategy, data, technology, process, business and humanity. (more…)

  • Contextual Aptitude: The Next Great Thing… Again

    Contextual Aptitude: The Next Great Thing… Again

    IMGContextual Aptitude: The Next Great Thing… Again

    Martyn Jones

    Birmingham 15th March 2017

    What is Contextual Aptitude (also known as End User Intelligence)?

    For starters, it’s a rubbish term for an extra-crucial business-centric concept of gravity-defying, cosmos-rallying, mega-mega importance.

    (more…)

  • Data Mart in a Box: The Next Great Thing – Placeholder only

    Data Mart in a Box: The Next Great Thing – Placeholder only

    AppleStoreData Mart in a Box: The Next Great Thing

    Please note that this is a placeholder for a piece that is currently being reviewed by an architectural and IP team. Don’t want to give away too many secrets.

    Martyn Jones

    Carmarthenshire 16th March 2017

    What is a Data Mart in a Box?

    (more…)

  • Here’s a Thought… A Mere Data Bagatelle

    Here’s a Thought… A Mere Data Bagatelle

    OLYMPUS DIGITAL CAMERA
    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.

    (more…)

  • Post-truth, Fake-news and Big Data

    Post-truth, Fake-news and Big Data

    Martyn Richard Jones

    Lora del Rio, 2nd February 2017

    image10

    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.

    (more…)

  • Data Supply Framework 3.0 – ETL Patterns

    Data Supply Framework 3.0 – ETL Patterns

    Martyn Richard Jones

    Mountain View, 22nd January 2015

    image3This 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.

    (more…)

  • Big Data is Bullshit – 2017

    Big Data is Bullshit – 2017

    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. (more…)

  • CEO BRIEFING: What Every CEO Needs to Know About Big Data

    CEO BRIEFING: What Every CEO Needs to Know About Big Data

    Martyn Richard Jones

    New York City, 18th January 2017

    OLYMPUS DIGITAL CAMERA
    Blue sky for professional data architecture and management

    Scope

    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. (more…)

  • Big Data Predictions for 2017

    Big Data Predictions for 2017

    Mount_Everest_as_seen_from_Drukair2_PLW_editBig Data Predictions for 2017

    Prologue

    You 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. (more…)

  • Data on the Edge of Time and Place

    Data on the Edge of Time and Place

    image12Big 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’.

    (more…)

  • Seven Magnificent Big Data Success Stories

    Seven Magnificent Big Data Success Stories

    Mount_Everest_as_seen_from_Drukair2_PLW_editMartyn 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…

    (more…)

  • Big Data on the Roof of the World

    Big Data on the Roof of the World

    Mount_Everest_as_seen_from_Drukair2_PLW_editOnce 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. (more…)

  • Getting business value from data? Commercial analytics is where it’s at

    Getting business value from data? Commercial analytics is where it’s at

    Martyn Richard Jones

    Overview

    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. (more…)

  • Big Data: And it’s all gone quiet over there!

    Big Data: And it’s all gone quiet over there!

    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?

    (more…)

  • 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 4

    Free Business Analytics Content –Thanks to Wikipedia – Part 4

    Image1

    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…)

  • The Digital Document Lifecycle

    The Digital Document Lifecycle

    The Digital Document Lifecycle

    MARTYN RICHARD JONES

    To begin at the beginning

    This is a story of the life of a digital document. Its purpose is to explain the process of analysing, designing, building, testing and delivering content rich business artefacts in today’s digital age.

    (more…)

  • Stuff a great data architect should know

    Stuff a great data architect should know

    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…)