#dataengineering

dbt is good – but it has blind spots If you’re working in analytics engineering, dbt is...

Consider a data model with one convenient field: liquidity_score. It is easy to sort and chart, but...

About three months into building the Korean version, I showed the product to a financial analyst at a...

A model is only one artifact in a production data science system. The harder engineering problem is...

A practical look at dynamic pricing systems for marketplaces: fresh signals, guardrails, experiments, and failure modes that matter more than the model.

Replacing an analytics system is rarely a dashboard decision. The risky part is the event-ingestion...

DuckDB is having a moment, and like every tool having a moment, the hype runs ahead of the nuance....

Practical guide to defining, enforcing, and evolving data contracts to prevent breaking changes and assure data quality.

I was building a tool that detects when data quietly changes meaning — a vendor switching units, a...

Disclosure: This tutorial and its code were prepared with AI assistance by the CommentTok editorial...

-- Executive Summary -- The evolution of Extract, Transform, Load (ETL) processes is...

Building a robust Power BI solution starts long before the first visual is placed on a report canvas....