• Home
  • About
  • Strategy
    • Data Warehousing
    • Ask Martyn
  • Opinion
  • MARTYN
    • MARTYN’S MUSIC
    • Must-Read Books from Martyn
    • PODCASTS
    • MARTYN.ES

GOOD STRATEGY

~ DATA WITH DIRECTION

GOOD STRATEGY

Tag Archives: Data Warehouse

TECH HOUR: Warehousing Your Data: A No-Nonsense Guide to the Right DBMS in 2026

27 Friday Mar 2026

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, arms, Artificial Intelligence, backfill, chatgpt, code, code-cortex, Data Warehouse, database, EDW, llm, oracle, progresql, reinventing-the-wheel, snowflake, tech-hour, technology

Martyn Rhisiart Jones, Madrid, Friday 27th March 2026

Warehousing Your Data: A No-Nonsense Guide to the Right DBMS in 2026

Listen, you glorious data martyrs. You noble sufferers who have spent far too many evenings coaxing historical rows into slowly changing dimension tables while the rest of the office has gone home to sensible lives. You know the drill. The star schema looks perfect on paper, the fact table is append-only and cooperative, but then someone asks for last year’s corrected customer segments. Suddenly, your backfill script is performing open-heart surgery on a live production warehouse.

In 2026, vendors are still shouting about infinite scalability and “agentic AI” (whatever that means this week), but what actually matters is a system that lets you shove yesterday’s data into those dimension objects without it feeling like a hostage negotiation.

I have been asked to examine the most appropriate database management systems for effective data warehousing, with particular attention to the pain of backfilling dimensional tables. The brief is clear: functionality, reliability, scalability, extensibility, maintainability, performance, cost, ease of use, and a total lack of corporate nonsense.

Continue reading →

MASTER CLASS: Mastering Data Warehousing: Balancing Pre-Emption and Back-Filling

24 Tuesday Mar 2026

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ 1 Comment

Tags

AI, Artificial Intelligence, Business, data architecture, Data governance, data management, Data Warehouse, design, Masterclass, technology

Martyn Rhisiart Jones, Madrid Tuesday 24th March 2026

In the ever-evolving world of enterprise data warehousing, one of the most persistent and critical challenges is how to intelligently expand subject areas and the associated data within the core data warehouse database, while maintaining architectural integrity, data quality, and governance, without venturing into data mart considerations.

Continue reading →

Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3

14 Saturday Feb 2026

Posted by Martyn Rhisiart Jones in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

≈ Leave a comment

Tags

agility, AI, Artificial Intelligence, Business, chatgpt, cloud, data architecture, Data governance, data hub, data management, Data Warehouse, data-logictics-hub, data-logistics-hub, data-marketing, data-on-demand, data-sharing, devops, digital-marketing, dlh, dw, protection, security, technology

OLYMPUS DIGITAL CAMERA

This is the brave new world of data!

Martyn Rhisiart Jones

Bandoxa, 15th February 2026

Building the Data Logistics Hub: Pieces and Parts – 2026/02/15 – Part 3

Guide

This episode provides a comprehensive framework for the third installment in the series on the Data Logistics Hub (DLH). Martyn Jones conceptualised it as a technology-agnostic, centralised platform. Its purpose is efficiently moving, governing, and distributing data across organisations. This part expands on Part 1 (Challenges and Opportunities) and Part 2 (The Strategy). It focuses on the tangible “pieces and parts” of the DLH architecture. It outlines mandatory and optional elements. The episode also explores potential technologies. It examines key processes such as data pulling or pushing, translation from source to target, mapping, and data catalogues.

Continue reading →

Building the Data Logistics Hub: The Strategy – 2026/02/14 – Part 2

14 Saturday Feb 2026

Posted by Martyn Rhisiart Jones in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

≈ 1 Comment

Tags

agility, AI, Artificial Intelligence, Business, chatgpt, data architecture, Data governance, data hub, data management, Data Warehouse, data-logictics-hub, data-logistics-hub, data-marketing, data-on-demand, data-sharing, digital-marketing, dlh, dw, protection, security, technology

OLYMPUS DIGITAL CAMERA

This is the brave new world of data!

Martyn Rhisiart Jones

Bandoxa, 14th February 2026


Building the Data Logistics Hub: The Strategy – 2026/02/14 – Part 2Before I begin, remember this: “All data roads lead to the Data Logistics Hub.” They also lead from it. It is the Rome of the age of data, information, knowledge, and wisdom. Be prepared!

Okay, we will now examine the Data Logistics Hub in terms of strategy, execution plans, and roadmaps.

A high-level blueprint for a successful Data Logistics Hub outlines several requirements. These include principles, guiding objectives, an imagined “better world” and organisational alignment. Key trade-offs must also be considered, such as centralised versus federated and batch versus streaming, among others.

Continue reading →

Building the Data Logistics Hub: The Challenges and Opportunities – 2026/02/13 – Part 1

13 Friday Feb 2026

Posted by Martyn Rhisiart Jones in data mesh, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., information, Information Supply Framework, Knowledge, knowledge management, Martyn Jones, Masterclass

≈ 1 Comment

Tags

agility, AI, Artificial Intelligence, Business, data hub, Data Warehouse, data-logictics-hub, data-logistics-hub, data-on-demand, data-sharing, digital-marketing, dlh, dw, protection, security, technology

OLYMPUS DIGITAL CAMERA

This is the brave new world of data!

Martyn Rhisiart Jones

Bandoxa, 13th February 2026

In this episode, we begin by honestly examining the pain points that make data logistics so difficult today. The challenges are siloed data and systems. There are also many data interchange point solutions. Quality is inconsistent, and there are security and compliance barriers. Additionally, data volumes are exploding. We then explore the transformative opportunities. These include faster time-to-insight and seamless collaboration across teams and organisations. The opportunities also feature monetisable data products and AI-ready flows.

Continue reading →

DATA WORLD: Data Warehouse Action: Big Business Drivers

11 Wednesday Feb 2026

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ 2 Comments

Tags

AI, Artificial Intelligence, Business, Data Mart, Data Warehouse, digital-marketing, drivers, imperatives, technology, urgency

Masterclass on the side!

Martyn Rhisiart Jones

Madrid, Saturday 31st January 2026

Martyn: The Enterprise Data Warehouse should be driven by business demand and nothing else.

Ed: What does that mean in practice?

Continue reading →

DATA WORLD: Friends! Romans! Countrymen! Big Data is not Data Warehousing – 2026/01/29

11 Wednesday Feb 2026

Posted by Martyn Rhisiart Jones in Big Data, Consider this, Data Warehousing, Good Strat, hadoop, hdfs, Martyn Jones

≈ Leave a comment

Tags

Analytics, Big Data, books, Data Mart, Data Warehouse, Data Warehousing, enterprise data warehousing, Good Strat, Good Strategy, google, Martyn Jones, Martyn Richard Jones, News, sports, technology

Martyn Rhisiart Jones

29th January 2026

Hold this thought: To paraphrase the great Bob Hoffman, just when you think that if the Big Data babblers were to generate one more ounce of bull**** the entire f****** solar system would explode, what do they do? Exceed expectations.

I am a mild mannered person. However, one thing that irks me is hearing variations on certain themes. These themes include phrases like “Data Warehousing is Big Data.” Another is “Big data is in many ways an evolution of data warehousing.” Lastly, some say “with Big Data you no longer need a Data Warehouse.”

Big Data is not Data Warehousing. It is not the evolution of Data Warehousing. It is also not a sensible and coherent alternative to Data Warehousing. No matter what certain vendors will put in their marketing brochures or stick up their noses.

Continue reading →

Future Data Trends: Insights for 2026 Leadership

21 Sunday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, Analytics, Artificial Intelligence, Business, chatgpt, cloud, data mesh, Data Warehouse, data-lakehouse, llm, medallion-architecture, technology

Martyn Rhisiart Jones

Segovia, 20th December 2025

Top 5 Trends Shaping the Future of Data, Analytics, and AI Leadership in 2026

I’ve had the privilege of leading a groundbreaking global study in partnership with a strategic client. During this study, I spoke with many key Chief Data Officers (CDOs). I also engaged with Chief Data & Analytics Officers (CDAOs) and AI executives across industries and geographies. The insights reveal how organisations are changing their data and AI strategies. They aim to drive real business value in an increasingly complex world.

Continue reading →

Is the Data Warehouse Dead? Exploring New Paradigms

20 Saturday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain., Polemic

≈ Leave a comment

Tags

AI, Analytics, Artificial Intelligence, cloud, data mesh, Data Warehouse, data-lakehouse, llm, medallion-architecture, technology

Martyn Rhisiart Jones

Segovia 20th December 2025

The Data Warehouse Is Dead. Long Live the Data Warehouse.

In 1992, Bill Inmon coined the term “data warehouse” and laid out four sacred rules: subject-oriented, integrated, non-volatile, time-variant. It was a blueprint for a fortress of truth, expensive, on-premises, batch-processed, and utterly indispensable. Fast-forward three decades. The fortress has been replaced by something that resembles a hyperscale cloud platform. This platform can run your AI models and your CEO’s dashboard simultaneously. Welcome to data warehousing in 2025.

Continue reading →

The Evolution of Data Warehousing: Principles for 2026

20 Saturday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, amazon, Artificial Intelligence, azure, cloud, data mesh, Data Warehouse, Data Warehousing, data-lakehouse, microsoft, oracle, technology

Martyn Rhisiart Jones

Segovia, 20th December 2025

Introduction

The data warehouse has undergone a profound transformation over the past decade. Expensive, rigid, on-premises systems were once built for batch reporting. These systems have now evolved into cloud-native, highly scalable platforms. They are designed to meet the demands of today’s data-driven organisations.

Continue reading →

The Future of Data Warehousing: Boring Yet Effective

05 Friday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, Architecture, Artificial Intelligence, cloud, Data Warehouse, data-strategy, technology

Why Data Warehousing Is the Boring, Brutal, Beautiful Future of Data

Martyn Rhisiart Jones

A Coruña, 5/12/2025

The modern enterprise data stack looks less like technology and more like cyberpunk plumbing. Pipes are rerouted through pipes. Valves are attached to valves. Layers are placed on top of each other until the whole thing resembles a drawing. It’s like a creation made by a caffeinated child let loose on a whiteboard. Data lakes are here. A data mesh is over there. A lakehouse is balanced precariously on top. It resembles a loft extension built by someone who learnt carpentry from TikTok.

Continue reading →

Understanding Exhaust Data in Data Warehousing

02 Wednesday Oct 2024

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

data, data science, Data Warehouse, data-engineering, technology

The data warehouse is the place to copy exhaust data to

Martyn Jones, Bilbao, 2nd October 2024

Narrator: Not all data we have is related to strictly business domains such as products, organisation structure and corporate real estate. A lot of data we collect is simply about monitoring all aspects of IT, applications, networking, security and governance. To name just a few.

Dud: What’s all this data in my exhaust? Is my data back-end going well, or do I have a mechanical data governance issue? All this OLTP exhaust data is so tedious and tiring.

Continue reading →

Orientation! Domain or Subject?

26 Thursday Sep 2024

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

≈ Leave a comment

Tags

AI, Artificial Intelligence, Data Warehouse, data-engineering, technology

Domain orientation or subject orientation?

Martyn Jones, New Jersey

Narrator: Here, in this piece, we wander down Differential Avenue to look at what people consider domain and subject orientation. This story is about the good, the embarrassingly lousy hyperbole and then the ugliest provocative nonsense.

Continue reading →

CONSIDER THIS: Big Data Inertia

22 Tuesday Mar 2016

Posted by Martyn Rhisiart Jones 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

≈ 1 Comment

Tags

Big Data, business strategy, Consider this, data, Data Warehouse, Information Technology, Martyn Jones, Martyn Richard Jones

“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! Continue reading →

Too Much Information

16 Wednesday Mar 2016

Posted by Martyn Rhisiart Jones in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, 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, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

≈ Leave a comment

Tags

Ask Martyn, Big Data, Business Enablement, business intelligence, Business Management, Data Warehouse, Good Strat, Information Technology, Martyn Jones, Martyn Richard Jones, Organisational Autism, Strategy

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. Continue reading →

Big Data 7s: Talking Points #1

09 Friday Jan 2015

Posted by Martyn Rhisiart Jones in Big Data, Big Data 7s, Consider this, Data Warehouse

≈ Leave a comment

Tags

Big Data, business intelligence, data analytics, Data Warehouse

Martyn Richard JonesJPR-Williams_181887k

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. Continue reading →

Big Data is Dead!

20 Saturday Dec 2014

Posted by Martyn Rhisiart Jones in Big Data, Data governance, Data Warehousing

≈ 6 Comments

Tags

Analytics, Big Data, Data Warehouse

BDID6

Martyn Richard Jones

Alas, poor Yorick! I knew him, Horatio; a fellow of infinite jest, of most excellent fancy; he hath borne me on his back a thousand times; and now, how abhorred in my imagination it is!

From the play Hamlet by William Shakespeare

Big Data is dead! Long live Information Management. Continue reading →

The Sources of Truth: Rarely Pure, Never Simple – 2026 Mix

19 Friday Dec 2014

Posted by Martyn Rhisiart Jones in Data Warehouse, Data Warehousing, EDW

≈ Leave a comment

Tags

Data Warehouse, single source of truth

Martyn Richard Jones

Remastered for 2026

Here We Go With the Truth

1.       To begin at the beginning

“A thing is not necessarily true because a man dies for it.”

Oscar Wilde

For well over two decades one of the most talked about benefits of Enterprise Data Warehousing (EDW) has been that it gives us a single source of business truth. Continue reading →

CONSIDER THIS: Did Big Data Kill The Statistician? 2026

03 Wednesday Dec 2014

Posted by Martyn Rhisiart Jones in consider, Consider this, data science, Polemic, statistics

≈ 20 Comments

Tags

Big Data, BS, Consider this, data analysts, data science, Data Warehouse, enterprise data warehousing, statisticians, statistics

OLYMPUS DIGITAL CAMERA
Blue sky data

Martyn Rhisiart Jones

Hold this thought: ‘There are big lies, damn big lies and big data science’.

Statistics is a science. Some argue that it is the oldest of sciences. It can be traced back in history to the days of Augustus Caesar, and before.

In 1998, Lynn Billard wrote a paper that laid out the role of the Statistician and Statistics. She stated that “no science began until man mastered the concepts and arts of counting, measuring, and weighting”.[1]

Continue reading →

Consider this: Data Warehousing Without Tears – 2026 Mix

30 Sunday Nov 2014

Posted by Martyn Rhisiart Jones in Consider this, Data Warehouse, Data Warehousing

≈ Leave a comment

Tags

Data Warehouse, enterprise data warehousing, success factors

 Old advice is still good advice, if it is truly good advice.

Martyn Richard Jones

It’s an older piece (from the nineties), but a lot of it is still relevant and pertinent.

So, here is a brief run-down on how to avoid crashing and burning Data Warehousing.

Understand that a Data Warehouse should only contain subject oriented, integrated, non-volatile and time-variant information to support strategic and tactical requirements of management – Keeping the purpose of the Data Warehouse highly focused will eliminate the dilution of a Data Warehouse solutions effectiveness. If what Bill Inmon said in this respect almost invariably results in successful DW projects – and that’s not speculation but proven fact – then I don’t see any rational reason at the moment to change our views on this. Continue reading →

Consider this: Ten thoughts on Data Warehousing – 2026 Mix

30 Sunday Nov 2014

Posted by Martyn Rhisiart Jones in Consider this, Data Warehouse, Data Warehousing

≈ Leave a comment

Tags

Ask Martyn, Consider this, Data Warehouse

©1997 Adobe Systems Incorporated
Dreamers

Martyn Richard Jones

More than 80% of advertising is ignored. More than 50% of Data Warehouse projects fail in one way or another. The information explosion has been accompanied by a massive increase in the ranks of the willfully stupid. Continue reading →

Responsible Use of Corporate Data – Almost 2026

03 Monday Nov 2014

Posted by Martyn Rhisiart Jones in Data governance

≈ Leave a comment

Tags

Ask Martyn, Best principles, Big Data, Business, business intelligence, data governance, data management, Data protection, Data Warehouse, privacy, Strategy

IMGThere was a time, Martyn Richard Jones

When absolute discretion was an essential maxim in the relationship between a liberal professional (doctor, banker, solicitor, architect, etc.) and their clients, but times have changed. They are continuing to transform at an ever-increasing pace.
Continue reading →

Understanding Strategic Fit: The Cambrian A9 Power Grid

14 Tuesday Oct 2014

Posted by Martyn Rhisiart Jones in Architecture, Strategy

≈ Leave a comment

Tags

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

Written by Martyn Richard Jones

2026 Mix

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

Matching occurs through the practice of pre-strategy analysis.

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

The Awkward Squad – Big data informs

11 Saturday Oct 2014

Posted by Martyn Rhisiart Jones in Big Data, BS, Data Warehouse, disinformation, information, Knowledge, wisdom

≈ Leave a comment

Tags

Analytics, Big Data, business intelligence, cloud, Data Warehouse, virtualisation

Martyn Richard Jones

Remaster for 2026

I am a sceptic. Part of the awkward squad of troublemakers.

People who ask questions and who won’t stop asking.

People who won’t take bullshit for an answer.

People who are not preprogrammed to unquestioningly follow specific paths.

But to question everything.

Such as, “What the feck’s that all about then?” Continue reading →

← Older posts

Follow Good Strategy

Enter your email address to follow this strategy platform and receive free notifications of new content by email.

Top posts

  • STRAIGHT TALK: Agile at Scale is Bullshit by Design - The Guardian
  • TECH HOUR: Snowflake's Cortex Code: The Agentic Reckoning
  • Building Insight: Revolutionising Corporate Estate Management - Book Review
  • Aligning Data Warehousing with Corporate Vision - Remaster 2026
  • STRAIGHT TALK: Agile at Scale is Bullshit by Design
  • Deep Learning, Shallow Understanding - Unplugged
  • What triggers a review of organisational strategy? An example - Remastered for 2026
  • 2026 Data Trends: Navigating the Future of Data Management
  • BOOK REVIEW: Good vs Bad Leadership: Key Insights
  • The World's Best Data Quotes... Including Big Data quotes

Recent Comments

Unlocking Business V… on Building the Data Logistics Hu…
Unlocking Business V… on DATA WORLD: Understanding the…
Unlocking Business V… on Podcast Episode: DATA WORLD: T…
Unlocking Business V… on Building the Data Logistics Hu…
Unlocking Business V… on DATA WORLD: The Risks of Using…

Meta

  • Register
  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org

Recent articles

  • Censoring Mister Jones
  • The Top 7 Vapourware Hallucinations For Next Year
  • Tokenmaxxing for Jesus
  • La revuelta por la vivienda en España: el audaz enfrentamiento de Sánchez con la derecha
  • Spain’s Housing Revolt: Sánchez’s Daring Showdown With the Right
  • How Green Was My Data?
  • Why Smart Leaders Trust Both Data Analytics and Gut Instinct

Hours & Info

Spain
+34 692 376 698
martyn.jones@martyn.es
Lunch: 13:30pm - 14:30pm
Dinner: M-Th 20:00pm - 21:00pm, Fri-Sat:21:00pm - 22:00pm

The Stats

  • 131,171 hits

Meta

  • Register
  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
Log in
  • Censoring Mister Jones

Create a website or blog at WordPress.com

Loading Comments...