Roland Wenzlofsky
The Wrong Response to a Shifting Market
Three default moves senior technical practitioners make when rates begin to compress, and why each makes the underlying position worse.
RAG Does Not Fail Because of the Model. It Fails Because of the Data.
Every enterprise AI strategy deck I have seen in the past years contains the same promise: “We will build a RAG-based knowledge assistant…
Data Engineering Is Not Dying. But Management Is Doing Its Best to Kill It.
How corporate cost-cutting is creating the exact problem AI was supposed to solve.
Why Z-Ordering Fails on Skewed Data — and Liquid Clustering Does Not
Z-ordering and Liquid Clustering both aim to improve Databricks query performance through data skipping. But when your data is skewed, one of them quietly becomes useless. A visual explanation of why — and how the Hilbert curve changes everything.
The Most Dangerous System in Your Bank Runs on Excel
“The spreadsheet is the most dangerous piece of software ever created.” — Daniel Lemire
AI Agents Are Quietly Rewriting the Cloud Database Cost Model
I have spent over twenty years building and optimising enterprise data warehouses, and in that time, I have watched the industry cycle…
Your Next Data Warehouse Migration Will Fail for the Same Reason the Last One Did
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…
Stop Comparing Teradata, Snowflake, and Databricks. Start Asking These Questions Instead.
A vendor-neutral look at the architectural trade-offs that actually matter
Microsoft Fabric vs. Databricks: What Enterprise Teams Actually Need to Know
When Microsoft launched Fabric, it promised to unify analytics under one roof. Databricks, meanwhile, has been building its lakehouse…