“All models are wrong, but some are useful.”George Box A short note before the piece. Starting next week, this newsletter will run on a steady rhythm: a short, practical piece every Tuesday and a long, structural piece every Saturday. The Saturday issues keep building the year-long curriculum, the diagnosis, the role map, the path from …
“The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn.”Alvin Toffler Open any job board, scroll any LinkedIn feed, sit through any earnings call, and you will run into the same wave of new titles: AI engineer, AI developer, AI strategist, machine …
How to think about the choice when the standard path no longer reliably works. Foreword The path that worked through most of the previous decade — pick any reasonable engineering specialty, get hired into a junior role, learn the rest on the job — does not reliably work in 2026. The market has shifted. The …
Banks are cutting junior data engineers today. The bill comes due in 2035. The 2026 layoff numbers are real. Tens of thousands of tech workers lost their jobs in early 2026, with a disproportionate share hitting junior roles. The official narrative is that AI made these jobs redundant. That narrative is half true. The other …
Three default moves senior technical practitioners make when rates begin to compress, and why each makes the underlying position worse.
Every enterprise AI strategy deck I have seen in the past years contains the same promise: “We will build a RAG-based knowledge assistant that lets employees query our internal documents in natural language.” The board nods. The budget gets approved. Six months later, the assistant gives wrong answers, misses critical information, and nobody trusts it. …
“The spreadsheet is the most dangerous piece of software ever created.” — Daniel Lemire
I have spent over twenty years building and optimising enterprise data warehouses, and in that time, I have watched the industry cycle…
There is a question that is almost never asked in the data platform debate, and the reason it is not asked is that nobody benefits from the…
A vendor-neutral look at the architectural trade-offs that actually matter I have spent over 20 years building and optimising enterprise data warehouses, mostly on Teradata, and increasingly on Snowflake and Databricks. What I have observed repeatedly is that platform selection decisions are driven by slide decks, analyst quadrants, and licensing pressure — not by the …
Expert network for enterprise data platforms. Senior consultants, project teams built for your challenge — across Teradata, Snowflake, Databricks, and more.
📍Vienna, Austria & Jacksonville, Florida
Join 4,000+ data professionals.
Weekly insights on Teradata, Snowflake & data architecture.