Getting Agile Right

17 Mon Apr 2017

Posted by in agile, Ask Martyn, business strategy, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, Strategy

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Image10Martyn Richard Jones

Madrid, 16th April 2017

I think Agile has its place, especially in the world of software application development, especially in building the kind of software that businesses frequently use in the peripheral aspects of their day-to-day operations.

Done right, Agile can make the difference between a great success and a painful failure. Done badly, and you might suffer a worse fate than a badly applied Software Development Life Cycle such as Waterfall. Done well, and Agile will oil the wheels of the machine that gets things done.

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Brand Aversion: Exhibit One

16 Sun Apr 2017

Posted by in 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, Inform, educate and entertain., Marketing, pig data, Sales, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Richard Jones

San Luis Obispo 16th April 2017

La-mode-sur-tous-les-tableauxTaking a Pop at Traditional Data Warehousing

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 →

Big Dummies for Data

15 Sat Apr 2017

Posted by in 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, Inform, educate and entertain., Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Jones

Madrid 25th January 2017

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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…

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Hadoop’s Revolutionary Data Warehouse

15 Sat Apr 2017

Posted by in 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, Inform, educate and entertain., IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Richard Jones

Baile Átha Cliath

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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.

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Here’s a thought… A Date with Codd

18 Sat Mar 2017

Posted by in All Data, 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 Strategy, Inform, educate and entertain., information, Information Management, Information Supply Framework, IT strategy, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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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. Continue reading →

Contextual Aptitude: The Next Great Thing… Again

16 Thu Mar 2017

Posted by in 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, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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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.

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

16 Thu Mar 2017

Posted by in 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, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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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?

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Here’s a Thought… A Mere Data Bagatelle

14 Tue Mar 2017

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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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.

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Post-truth, Fake-news and Big Data

02 Thu Feb 2017

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Richard Jones

Lora del Rio, 2nd February 2017

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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.

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Data Supply Framework 3.0 – ETL Patterns

26 Thu Jan 2017

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, Data Supply Framework, Extract, Good Strategy, goodstart, governance, Inform, educate and entertain., Information Management, Information Supply Frameowrk, Information Supply Framework, IT strategy, Strategy, The Big Data Contrarians

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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.

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