Theres Another Meaning

The joke here is that 60,000 rows is an absolutely tiny dataset in modern data engineering. Like, microscopic. A competent data engineer could process this on a 10-year-old laptop while running a YouTube video in the background. It's like bragging that your car overheated after driving to the end of your driveway. Any data pipeline that can't handle 60K rows without hardware failure is the computational equivalent of a paper airplane trying to carry passengers across the Atlantic. Real data engineers regularly process billions of rows without breaking a sweat. This is why everyone's laughing - it's the equivalent of someone claiming to be a weightlifting champion because they can lift a gallon of milk.

Left side: A pristine O'Reilly book with an elegant wild boar illustration, promising the secrets to "Designing Data-Intensive Applications" with "reliable, scalable, and maintainable systems." Right side: The same boar, but now sleeping on a dirty mattress next to garbage bins. The elegant theory meets the trashy reality. Spent three months mastering B-trees and distributed consensus algorithms just to end up writing SQL queries that could've been figured out with a 5-minute Stack Overflow search. The duality of software engineering: expectation vs. the glorious dumpster fire we call production.

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Look, we've all been on that project where the tech stack is dead serious business... and then there's SQL. While the combat-ready languages are out there doing the heavy lifting with their compiled efficiency and type safety, SQL's just vibing in its clown outfit, joining tables and dropping databases with the same energy as someone who brought snacks to a SWAT raid. The irony? That colorful weirdo is probably the one keeping the whole operation running. Ten years of optimizing queries will do that to you.

Content Giulio Carrara Engineering Manager at Abstract Dear recruiters, if you are looking for: - Java, Python, PHP - React, Angular - PostgreSQL, Redis, MongoDB - AWS, S3, EC2, ECS, EKS - nix system administration - Git and CI with TDD - Docker, Kubernetes That's not a Full Stack Developer. That's an entire IT department. Yours truly