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 martes 24 de marzo de 2.026
En el mundo en constante evolución del almacenamiento de datos empresarial (enterprise data warehousing), uno de los desafíos más persistentes y críticos es cómo expandir de forma inteligente las áreas temáticas y los datos asociados dentro de la base de datos del almacén de datos central (core data warehouse), manteniendo la integridad arquitectónica, la calidad de los datos y la gobernanza, sin adentrarse en consideraciones de data marts.
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.
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.
To say that Martyn Jones’s Revealing Wealth is merely a book about tax evasion is like saying the Large Hadron Collider is just a fancy pipe. This is a manifesto for a digital revolution, a technical blueprint for global equity, and a provocative call to arms that arrives just as the old financial order begins to crack.
Below is a look at this seminal work through three distinct editorial lenses.
Book Review: Revealing Wealth: Combatting Tax Evasion with Data, Political Will and Technology by Martyn Jones
In an age defined by algorithms, trillion-dollar tech companies, and data flowing across borders at the speed of light, one of the oldest problems in civilisation persists: how the wealthy avoid paying their share of tax. In Revealing Wealth, Martyn Jones argues that the real scandal is not simply that tax evasion exists, but that in a data-rich world we still allow it to thrive.
