Martyn Rhisiart Jones, Thursday of Mysteries, 2nd April 2026
El Jueves y la Puta Mili
Oh, sweet suffering Jesus on a blockchain, here we go again with the latest sermon from the Church of AI Salvation.
Bunty Bower, that internationally bestselling author, keynote speaker, futurist, and professional tomorrow-peddler, has once more floated down from the LinkedIn heavens to bless us with his wisdom: fraud doesn’t just pop up like a surprise erection at the exact moment someone taps “pay.” No, no, no. It leaves clues, darling. Hidden signals. Whispered portents. Like a conspiracy theorist who’s discovered the radical concept of “things happen before other things.”
Martyn Rhisiart Jones, Madrid, mercredi 25 mars 2026
Ah, le 25 mars 2026, le soleil brille, les croissants de Snowflake sont délicieux, et une autre prophétesse LinkedIn est apparue pour nous gratifier de son dernier rapport, fruit de son expertise. Merci, cher lecteur, d’être tombé sur « Les agents spéciaux IA sont sur le point de révolutionner les jeux vidéo et la mutilation », signé par l’incomparable Bernie Barr, futuriste de renommée mondiale, véritable aimant à quatre-vingts millions d’abonnés, et auteure d’une quantité impressionnante de livres sur l’IA.
Martyn Rhisiart Jones, Madrid, miércoles 25 de marzo de 2026
Ah, 25 de marzo de 2026, el sol brilla, los croissants de Snowflake están deliciosos y otro profeta de LinkedIn ha aparecido para bendecirnos con su último informe desde la cima del liderazgo intelectual. Gracias, querido lector, por toparse con «Los agentes especiales de IA están a punto de cambiar los videojuegos y las mutilaciones para siempre», de la inigualable Berneice Barr, futurista de renombre mundial, imán de ochenta millones de seguidores y mujer que ha escrito más libros sobre IA que la mayoría de la gente ha comido una comida caliente.
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.
Cortex Code: The Agentic Reckoning, Or, How Snowflake Finally Gave Data Engineers a Break from Their Existential Crisis (Now With 300% More Technical Guts)
Martyn Rhisiart Jones, Madrid, Thursday 26th March 2026
Yesterday I attended Snowflake’s breakfast date in Madrid, and here are some of the great things I learned. So, without more ado…
Listen up, you glorious data martyrs, you noble sufferers who’ve spent years knee-deep in the festering swamp of undocumented ETL pipelines, chasing lineage graphs that resemble a deranged spider on acid after a three-day bender, and muttering dark incantations at 3 a.m. because some crusty Python script decided “customer churn” meant “every table that vaguely smells like a customer, plus that one VIEW nobody documented since 2019.” I stand before you today, your erudite, slightly unhinged technical prophet (with a heavy dose of stand-up bile and a side order of schema diagrams), to deliver the good news: Snowflake has unleashed Cortex Code, the AI coding agent that doesn’t just autocomplete your misery, it inhales it, digests the entire governed data estate, and burps back production-grade, hallucination-free SQL, Python, and dbt YAML while respecting your PII tags and warehouse economics like a paranoid compliance officer on Red Bull. This isn’t your garden-variety Copilot having another existential meltdown over a missing import. This is Code Context incarnate, an agentic beast that has swallowed the Horizon Catalogue whole, metadata, lineage graphs, semantic layers, role-based access controls, Dynamic Table lag policies, and the soul-crushing reality of your credit burn rate.
Martyn Rhisiart Jones, Madrid, Wednesday 25th March 2026
Ah, March 25th, 2026, the sun is shining, the Snowflake croissants are buttery, and another LinkedIn prophet has risen to bless us with his latest dispatch from the mountaintop of thought leadership. Thank you, dear reader, for stumbling upon “AI Special Agents Are About To Change Gaming and Maiming Forever” by the one and only Berneice Barr, world-renowned futurist, eighty-million-follower magnet, and woman who has written more books about AI than most people have had hot dinners.
Martyn Rhisiart Jones, Madrid, Friday 20th March 2026
March 20, 2026. Yes, that’s right, the calendar has finally caught up with the grift, hasn’t it? Thank you, thank you, for bothering to read my latest steaming pile of corporate word salad: “Choosing The Right AI In 2026 Is No Longer About Choosing The Right Model.” Because obviously, in 2026, choosing the right model would be far too simple, far too honest. No, no, we’ve evolved beyond that. We’re now in the rarefied realm of “capability profiles” and “orchestral conducting.” Please, hold your applause until I’ve finished flogging this dead horse made of buzzwords.
Here are the most important lessons you can learn from goodstrat.com. These are distilled from the site’s essays, blog posts, and strategic frameworks around data, governance, and technology.
Oh, for fuck’s sake, Dirndal Barr, you gleaming beacon of LockedOut futurism, you’ve done it again. March 2, 2026, the snow’s still settling on the Davos chalets, the private jets are queuing for takeoff like taxis at a funeral, and here you are, posting your pre-packaged “What Are The Real Questions Leaders Will Be Asking At Davos 2026?” like it’s some brave exposé rather than the world’s most expensive press release. You’re not a futurist, Benny. You’re a futurist-shaped content mill with 5 million followers who all clicked “Follow” in the hope you’d one day say something that wasn’t sponsored by the ghost of McKinsey.Let’s start with the official theme: “A Spirit Of Dialogue”. Beautiful. Nothing screams authentic conversation like locking up 3,000 of the richest, most insulated people on earth in a Swiss village so they can talk about how the rest of us should talk better.
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.
GOOD STRATEGY 