#dataengineering

The open lakehouse stack spent this week arguing about what belongs in a spec and what belongs in a...

There is an apparent contradiction at the heart of using AI agents for data work, and resolving it...

Any team running an agentic pipeline on a periodically-reloaded dataset caches the output of inputs...

Your fraud team is good at catching individuals. A claimant whose story shifts, a receipt that looks...

AI research products often display citations, but a row of links at the bottom of an answer does not...

Cleaning your training or RAG data isn't the hard part. Being able to trace a bad model output back to the exact source record that caused it is.

If you have ever tried to aggregate or analyze geopolitical data from Northeast Asia—specifically...

Artificial Intelligence is advancing at an incredible pace. Every week, we see announcements about...

Suspect-condition workflows are deceptively simple to prototype and surprisingly hard to make...

The token-price crash everyone cheers isn't software magic. It's a hardware war: Cerebras and Groq attacking on speed, NVIDIA's Rubin counterpunching

Kafka를 붙이고 나면 다음 선택은 자연스럽게 보인다.

How I Built a CSV-to-Postgres Data Pipeline for World Cup Player Stats The...