• Home
  • About
  • The Good Strategy Blog
  • Strategy
    • Data Warehousing
    • Ask Martyn

GOOD STRATEGY

~ for every significant challenge

GOOD STRATEGY

Category Archives: Architecture

Myth-busting: Data Mesh and Data Warehousing – Revisited

25 Thursday Nov 2021

Posted by Martyn Jones in 4th generation Data Warehousing, agile, anthropology, Architecture, Best principles, Data Mart, data mesh, Data Supply Framework, Data Warehouse, Data Warehousing, hadoop

≈ 1 Comment

To begin at the beginning

I am quite a fan of many aspects that sit under the Data Mesh umbrella. However, when it comes to a proper fact-based understanding and analysis of the history, place and architecture (business, data and technical) of Data Warehousing, the leading exponents of data mesh have it woefully wrong.

Therefore, the purpose of this blog article is to set the record straight.

The data warehouse as a place to copy OLTP exhaust data to?

Continue reading →

Agile at Scale is bullshit by design

28 Tuesday May 2019

Posted by Martyn Jones in agile, agile@scale, All Data, Architecture, Assets, awareness, behaviour, business strategy, Creativity, Dogma, IT strategy, Strategy, structured intellectual capital, Value

≈ Leave a comment

cropped-p4010326.jpgMartyn Ricard Jones

Bruxelles 28th May 2019

To begin at the beginning

To paraphrase the great Bob Hoffman. Just when you thought that if evangelists for Agile were to generate one more ounce of bullshit the entire fucking solar system would explode, what do they do? Exceed expectations.

And how did they do that? Ladies and gentlemen, let me introduce you to Agile at Scale with all the miscellaneous, spiced-up and vainglorious crap-on-the-side that accompanies it.

Continue reading →

Learning to hate Agile-at-scale

11 Saturday May 2019

Posted by Martyn Jones in 4th generation Data Warehousing, agile, All Data, Architecture, business, business strategy, Methodology, Process, project management, scrum

≈ Leave a comment

StupidToScaleAfilonius Rex

Cordoba, 12th May 2019

Ladies and gentlemen, the performance is about to start!

In 1998, as Programme, Product and Competence Centre manager at Hewlett-Packard, I signed the Agile Manifesto.

At that time, I had been using elements of the Agile-method mindset for the best part of sixteen years.

Previously, in 1995 I was trained and certified in Iterations, an iterative and agile-like methodology for building, maintaining and expanding data warehouses and data marts. Continue reading →

How to turn data into knowledge

02 Wednesday Aug 2017

Posted by Martyn Jones in 4th generation Data Warehousing, All Data, Architecture, Big Data, Big Data Analytics, data architecture, Data governance, data management, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, information, Information Management, Information Supply Framework, IT strategy, Knowledge, knowledge management, Marketing, Martyn Jones, Martyn Richard Jones, Sales, structured intellectual capital, wisdom

≈ 1 Comment

Martyn Jones

Zurich, Switzerland – 3rd August 2017

Image2If anyone can turn data into knowledge then that person is me.

Let me explain.

I am a data architecture and management professional. For more than three decades I have been acquiring knowledge and experience in the design and delivery of effective data and solutions architectures for a wide range of projects and in a wide range of (mainly large global or regional) enterprise clients.

Therefore I think I can reasonably presume to have built up quite a good personal body of knowledge when it comes to applied data architecture and management.

As well as being a professional in the management and architecture of data, I have also considerable knowledge and experience in the areas of information management, artificial intelligence and knowledge management (structured intellectual capital).

So, what about turning data or information into knowledge? Continue reading →

The World’s Best Data Quotes… Including Big Data quotes

17 Saturday Jan 2015

Posted by Martyn Jones in Analytics, Architecture, Big Data, Business Intelligence, Consider this, Data Warehousing, statistics

≈ 4 Comments

Tags

Analytics, aspiring tendencies in IM, Big Data, business intelligence, Core Statistics, enterprise data warehousing, Quotes

OLYMPUS DIGITAL CAMERA

A Random walk down Data Street

If you enjoy, abhor or are simply bored with the massive surfeit of hype surrounding Big Data, Data Warehousing and Analytics, then you might just hate these less than faithful quotes as well.

If you enjoy one or two of the quotes, well, then that’s an acceptable bonus too.

So, to begin at the beginning…xHound

Data Sources

“My data sources are unreliable, but their information is fascinating.” – Ashleigh Brilliant

“I give no data sources, because it is indifferent to me whether what data I have sourced has already been sourced before me by another.” – Ludwig Wittgenstein

“In the kitchen of a great Data Warehouse, the data source chef is a soloist.” – Fernand Point

“It is better to be hated for what data sources you have than to be loved for what data sources you do not have.” – André Gide

“In England, there are sixty different types of Data Warehouse and only one data source.” – Attributed to Voltaire

“It is a capital mistake to theorize before one has data sources. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.” – Arthur Conan Doyle, Sherlock Holmes

“From such a gentle thing, from such a source of all data, my every pain is born.” –Michelangelo

“Noise free data is a source of great strength.” – Lao Tzu

“In three words I can sum up everything I’ve learned about data: it goes on.” – Robert Frost

“Data enrichment improves a mighty fine data source” – Anonymous

xButcherBig Data

“Junk food, empty calories and carbs are the Big Data of the masses” – Karl Marx

“We live, I regret to say, in an age of Big Data hype.” – Oscar Wilde

“We are not rich by the Big Data we possess but by what Big Data we can do without.” – Immanuel Kant

“He who has Big Data hype on his side has no need of proof.” – Theodor Adorno

“The religion of Big Data sets itself the goal of fulfilling man’s unattainable desires, but for that very reason ignores her attainable needs.” – Ludwig Feuerbach

“The flesh endures the storms of the present alone; the mind in our social network interactions, those of the past and future as well as the present. Big Data is a covetousness of the mind.” – Thomas Hobbes

“Big Data is negative and dialectical, because it resolves the determinations of the understanding of things into nothings.” – Georg Wilhelm Friedrich Hegel

“I am trapped in this Big Data, and there is nothing I can do about it.” – Dudley Moore

“And remember, never take the ruby case off your iPad for a moment, or you will be at the mercy of the Big Data Witch of the West.” – The Wizard of Oz

“Imagine there’s no Big Data…” – John Lennon

Abacus3Data Transformation

“Analysis does not transform data.” – Jiddu Krishnamurtu

“I live in a data landscape, which every single day of my life is enriching data.” – Daniel Day-Lewis

“Data opportunities multiply as the data is transformed” – Sun Tzu

“He who integrates data badly is lost.” – Theodor Adorno

“Today we transform the data; tomorrow, the whole enchilada” – Leon Trotsky

“Well, it’s all about the ETL law of the transformation of data quantity into data quality, and vice versa. Innit!” – Friedrich Engels

“The management consultants have only interpreted the business data, in various ways. The point, however, is to transform it.” – Karl Marx

“Hey! What’s going down here in the Hollyweird of data?” – Joe McCarthy

“The Big Data alchemists in their transformational search for gold discovered much data of greater value.” – Arthur Schopenhauer

“That Schopenhauer yolk was a bit of an old Big Data ‘procurer’ wasn’t he now Rodge?” – Pádraig Judas O’Leprosy

IMGQBusiness Intelligence

“The trouble with the world is that the cocksure have Big Data and that Data Science and Business Intelligence are all sexed up.” – Bertrand Russell

If people never did silly things no Business Intelligence would ever get done.” – Ludwig Wittgenstein

“The best Business Intelligence user is intelligent, well-educated and a little drunk.” –Alben W Barkley

“The Master said, “If your conduct is determined solely by considerations of Business Intelligence and profit you will arouse great resentment.” ― Confucius

“That’s cricket, Harry, you get these sort of things in Business Intelligence” – Frank Bruno

“Business Intelligence without ambition is a bird without wings.” – Salvador Dali

“I would prefer a Business Intelligence hell to a Big Data paradise.” – Blaise Pascal

“Many much-learned business men have no Business Intelligence.” – Democritus

“We should not only use the brains we have, but all that we can borrow.” – Woodrow Wilson

“The reason we have Business Intelligence is so we don’t have to think all the time” –Homer Simpson

P3160034Data Warehousing

“The study of Data Warehousing, like the Nile, begins in Inmon and ends in magnificence.” – Charles Caleb Colton

“Big Data wins games, but Data Warehousing wins championships.” – Michael Jordan

“Big Data is no substitute for Data Warehousing.” – Frank Herbert

“It’s in me blood, Clive, without Data Warehousing I’d be nothing,” – Alan Latchley

“The trouble with the world is that the cocksure have Big Data and that Data Science is all sexed up.” – Bertrand Russell

If people never did silly things no Business Intelligence would ever get done.” – Ludwig Wittgenstein

“The best Business Intelligence user is intelligent, well-educated and a little drunk.” –Alben W Barkley

“You can catch all the whales in the ocean and stack them together and they still do not make a minnow.” – Ralph Wiggum

“Well, the smarter I practice Inmon Data Warehousing, the luckier I get.” – Gary Player

“Well, I’ve cleaned up facts and dimensions in a star-schema ‘data warehouse’. That was pretty terrible. But I can’t complain because I’m sure other people have done worse.” – Cee Lo Green

“You can give a person a bowl of Big Data Gruel and feed them for a day, or teach them Inmon Data Warehousing and feed them for a lifetime.” – Proverb

“A Data Warehouse is like a tea bag; you never know how strong it is until you are in hot water.” – Eleanor Roosevelt

” οἶδα δ᾽ ἐγὼ ψάμμου τ᾽ ἀριθμὸν καὶ μέτρα θαλάσσης, καὶ κωφοῦ συνίημι, καὶ οὐ φωνεῦντος ἀκούω. ὀδμή μ᾽ ἐς φρένας ἦλθε κραταιρίνοιο χελώνης ἑψομένης ἐν χαλκῷ ἅμ᾽ ἀρνείοισι κρέεσσιν, ᾗ χαλκὸς μὲν ὑπέστρωται, χαλκὸν δ᾽ ἐπιέσται.” – An Oracle to Croesus of Lydia

IMGThat’s all folks!

Well, now that that’s done I can always ask for forgiveness. Not that I will of course.

 Many thanks for reading.

abfab111

Martyn Jones

Founder and CEO, Cambriano Energy


File under: Good Strat, Good Strategy, Martyn Richard Jones, Martyn Jones, Cambriano Energy, Iniciativa Consulting, Iniciativa para Data Warehouse, Tiki Taka Pro

Continue reading →

Cambriano Risk Framework

03 Monday Nov 2014

Posted by Martyn Jones in Analytics, Architecture, business, Risk

≈ Leave a comment

Tags

complex event processing, energy, ETRM, introduction, IT business, Marketing, PaR, price curves, Risk, risk management platform, Risk Reporting, trading, VaR

This is the forward to a strategic paper on ETRM and risk management and reporting.

Continue reading →

Big Data Robitussin

26 Sunday Oct 2014

Posted by Martyn Jones in Analytics, Architecture, Ask Martyn, awareness, Big Data, BS, deceit, governance

≈ 13 Comments

Tags

awareness, Behavioural Economics, Big Data, BS, crap, data analytics, deceit, enterprise data warehousing, history, hustlers, IT business, lies, Organisational Autism, Pimps, spin

Image2What does Big Data have to do with Robitussin?

I will explain.

Continue reading →

Strategic Fit – Function Drives Form

14 Tuesday Oct 2014

Posted by Martyn Jones in Architecture, awareness, Management, Strategy

≈ Leave a comment

Tags

accountability, awareness, business analysis, constraints, Data Warehouse, modelling, opportunities, organisational awareness, Strategy

Strategic fit express the degree to which an organization is matching its resources and capabilities with the opportunities in the external environment.

The matching takes place through the practice of pre-strategy analysis.

That stated, it is very easy to fall into the trap of simplifying the high level concepts and overstating the intricacies and interdependence of strategic-fit factors. Continue reading →

The Great Information Struggle: Us and Them

14 Tuesday Oct 2014

Posted by Martyn Jones in Architecture, Assets, business, Business Intelligence, Data Warehousing, Management, Value

≈ Leave a comment

Tags

Big Data, Business, business intelligence, Data Marts, enterprise data warehousing, hadoop, information management, knowledge, knowledge management, Risk Management

In the dim and distant past most organisations struggled along with what they euphemistically referred to as Information Systems.

They were Information Systems with no overall design, no elements of management and no architecture.

Information Systems were built to show how the company had been performing in the immediate past, and that was it. Continue reading →

Silly Season! Data Warehousing is Hadoop is Big Data?

12 Sunday Oct 2014

Posted by Martyn Jones in Architecture, Ask Martyn, Banking, Best principles, Big Data, Business Intelligence, Creativity, Data Warehouse, Dogma, Knowledge, Peeves

≈ Leave a comment

Tags

Banking, Behavioural Economics, Big Data, Bill Inmon, business intelligence, data integration, Data Marts, Demagogism, Dogma, enterprise data warehousing, hadoop, Information and Technology, information management

Let’s get this baby off the ground

This weekend I read a piece on the Information Management website by Steve Miller with the title of Big Data vs. the Data Warehouse. It’s an old piece, from March 2014.

It was in response to a piece penned by Bill Inmon, titled Big Data or Data Warehouse? Turbocharge Your Porsche – Buy an Elephant, in which he singled out for criticism the ad campaign of a big-data and Hadoop promoter.

Continue reading →

← Older posts
Follow GOOD STRATEGY on WordPress.com

Top posts

  • Heaven help us! Have you seen the latest Virtual Data Warehouse bullshit?
  • Data Warehousing and Sources of Truth: Rarely Pure, Never Simple
  • The World's Best Data Quotes... Including Big Data quotes
  • Become an Instant Big Data Rock Star with 10 Insider Tips from the Top
  • Agile at Scale is bullshit by design
  • Bullshit at the Data Lakehouse
  • Head Over Heels - The many colours, hues and tones of poems, lyrics and words

Enter your email address to follow this blog and receive notifications of new posts by email.

Join 2,439 other subscribers

Names in the cloud

4th generation Data Warehousing All Data Ask Martyn Big Data Big Data 7s Big Data Analytics Business Intelligence business strategy Consider this dark data data architecture Data governance Data Lake data management data science Data Supply Framework Data Warehouse Data Warehousing Good Strat goodstrat Good Strategy IT strategy Martyn does Martyn Jones Martyn Richard Jones pig data Politics Strategy The Amazing Big Data Challenge The Big Data Contrarians

The Good Strat Archives

  • March 2023
  • January 2022
  • December 2021
  • November 2021
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • July 2019
  • June 2019
  • May 2019
  • December 2018
  • January 2018
  • December 2017
  • October 2017
  • August 2017
  • July 2017
  • June 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • September 2016
  • August 2016
  • May 2016
  • March 2016
  • February 2016
  • January 2016
  • December 2015
  • November 2015
  • August 2015
  • July 2015
  • June 2015
  • May 2015
  • April 2015
  • March 2015
  • February 2015
  • January 2015
  • December 2014
  • November 2014
  • October 2014
  • September 2014

The Stats

  • 99,717 hits

Recent posts

  • You don’t need a data warehouse to do data warehousing March 22, 2023
  • Data Warehousing means having thousands of ETL jobs March 21, 2023
  • The data warehouse is the repository for the post-transactional data March 20, 2023
  • Does your way of providing data have business value? March 19, 2023
  • Data warehousing stands in the way of progress March 18, 2023
  • Data Trailblazers: 2022 Vision January 2, 2022
  • Tea with The Data Contrarian: Afilonius Rex December 10, 2021
  • Reality Check: Data Mesh and Data Warehousing   December 5, 2021
  • Myth-busting: Data Mesh and Data Warehousing – Revisited November 25, 2021
  • Heaven help us! Have you seen the latest Virtual Data Warehouse bullshit? June 26, 2020

Hours & Info

Martyn Richard Jones
Madrid, Spain
+33 767 120 160
10:00 - 17:00
Follow GOOD STRATEGY on WordPress.com

Follow me on Twitter

My Tweets

Top Good Strat Posts & Pages

  • The Good Strategy Company
  • Heaven help us! Have you seen the latest Virtual Data Warehouse bullshit?
  • About
  • Data Warehousing and Sources of Truth: Rarely Pure, Never Simple
  • The World's Best Data Quotes... Including Big Data quotes
  • Become an Instant Big Data Rock Star with 10 Insider Tips from the Top
  • Agile at Scale is bullshit by design
  • Bullshit at the Data Lakehouse
  • Head Over Heels - The many colours, hues and tones of poems, lyrics and words

Good strat tag cloud

accountability advertising All Data Analytics aspiring tendencies in IM awareness Banking Behavioural Economics BI Big Data Bill Inmon Brexit BS Business business analysis Business Enablement business intelligence Business Management business strategy Challenges Commercial IT Consider this corporate assets Corporate IT Creativity data data analytics data architecture data integration data management Data Marts data science Data Warehouse Demagogism Dogma DW 3.0 Economics enterprise data warehousing EU Financial Goal Setting goodstart good start Good Strat goodstrat Good Strategy hadoop Information and Technology information management Information Technology IT business IT Strategy knowledge management leadership marketforces Marketing Martyn Jones Martyn Richard Jones MDM Offshoring operationalwareness Organisational Autism organisational awareness Outsourcing Pimps Politics project management Requirements management Risk Risk Management statistics Strategy trading traditional assets UK

Categories

  • 4th generation Data Warehousing
  • accountability
  • advertising
  • agile
  • agile way of working
  • agile@scale
  • AI
  • All Data
  • Analytics
  • anthropology
  • Architecture
  • Artificial Intelligence
  • Ask Martyn
  • Assets
  • awareness
  • bad strategy
  • Banking
  • behaviour
  • Best principles
  • Big Data
  • Big Data 7s
  • Big Data Analytics
  • blockchain
  • Books with influence
  • Brexit
  • BS
  • business
  • Business Intelligence
  • business strategy
  • Cambriano
  • Cambridge Analytica
  • China
  • Climate Change
  • Cloud
  • code of conduct
  • Commercial Analytics
  • community
  • Condiser this
  • Conservative Party
  • consider
  • Consider this
  • Consultation
  • Creativity
  • dark data
  • data
  • data architecture
  • Data governance
  • data hub
  • Data Lake
  • data management
  • Data Mart
  • data mesh
  • data science
  • Data Supply Framework
  • Data Warehouse
  • Data Warehousing
  • deceit
  • deep learning
  • Democracy
  • digital transformation
  • Diplomacy
  • disinformation
  • Dogma
  • Duties
  • DW 3.0
  • ECM
  • Economics
  • EDW
  • England
  • enterprise content management
  • ethics
  • EU
  • Europe
  • European Union
  • Excellence
  • Excerpt
  • Executive
  • Extract
  • Federalism
  • Financial Industry
  • fraud
  • Freedoms
  • Globalisation
  • good start
  • Good Strat
  • Good Strategy
  • Good Strategy Radio
  • goodstart
  • goodstartegy
  • goodstrat
  • goostart
  • governance
  • hadoop
  • hdfs
  • HR
  • humour
  • India
  • influencers
  • informatio Supply Framework
  • information
  • Information Management
  • Information Supply Frameowrk
  • Information Supply Framework
  • Infotrends
  • Inmon
  • instruments
  • IoT
  • IT Circus
  • IT fraud
  • IT strategy
  • IT World
  • iterations
  • java
  • Knowledge
  • knowledge management
  • Labour Party
  • leadership
  • Leadership 7s
  • life
  • listening
  • literature
  • LSE
  • machine learning
  • Management
  • market forces
  • Marketing
  • Marty does
  • Martyn does
  • Martyn Jones
  • Martyn Richard Jones
  • media
  • Memory lane
  • Methodology
  • nationalism
  • nine competitive forces
  • no limits
  • Northern Ireland
  • obituary
  • Obligations
  • offshore
  • Offshoring
  • operational
  • Outsourcing
  • Oxford
  • pain
  • Parliament
  • Peeves
  • Personal Integrity Key
  • Philosophy
  • pig data
  • PIK
  • PIR
  • Plaid Cymru
  • Planning
  • poem
  • poems
  • Poetry
  • Polemic
  • political science
  • Politics
  • pomo
  • postmodern
  • POTUS
  • Process
  • Professional Networking
  • professionalism
  • project management
  • Project to Excel
  • prose
  • public
  • Public Integrity Record
  • Quiz
  • Rant
  • Referendum
  • Remain
  • RIghts
  • Risk
  • Rivalry
  • Russia
  • Ruth Davidson
  • Sales
  • satire
  • Scotland
  • Scottish National Party
  • scrum
  • sentiment analysis
  • SMILES
  • Snippet
  • SNP
  • Social
  • Social Media
  • Sociology
  • spoof
  • statistics
  • Stories
  • Strategy
  • structured intellectual capital
  • supply chain management
  • tactics
  • Tax avoidance
  • Tax evasion
  • TEAM
  • technology
  • The Amazing Big Data Challenge
  • The Big Data Contrarians
  • The Greens
  • The Guardian
  • The hidden wealth of nations
  • Trade
  • UK
  • Uncategorized
  • United Kingdom
  • USA
  • Value
  • Wales
  • wisdom

Blog at WordPress.com.

  • Follow Following
    • GOOD STRATEGY
    • Join 131 other followers
    • Already have a WordPress.com account? Log in now.
    • GOOD STRATEGY
    • Customize
    • Follow Following
    • Sign up
    • Log in
    • Report this content
    • View site in Reader
    • Manage subscriptions
    • Collapse this bar
 

Loading Comments...
 

    Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
    To find out more, including how to control cookies, see here: Cookie Policy