Data pipelines are like highways designed to keep traffic flowing smoothly. But what happens when there’s a crash? In data engineering, errors aren’t an exception they’re inevitable. The real question is: do you have the guardrails to handle them? Why Error Handling is Different in Data Engineering Unlike application code, pipelines don’t just “throw and... Continue Reading →
Logging Like Data Engineers: Turning Debug Logs into Gold
Logging often feels like cleaning your room you don’t want to do it, but when things go wrong, you’re glad you did. For Data Engineers, logging isn’t just about writing messages it’s about creating a narrative that helps you trace, debug, and optimize pipelines that span terabytes of data. Done right, debug logs become gold:... Continue Reading →
Declarative vs Imperative Syntax: Speaking to Machines in Two Languages
Software has always been about telling machines what to do. But how we tell them matters. That’s where the concepts of imperative and declarative syntax come in. Both are powerful, both are everywhere - but they take very different approaches. Imperative Syntax: The Step-by-Step Recipe Imperative syntax is like giving someone a detailed recipe. You... Continue Reading →
BrontoWise 