How fresh is ad data by the time anyone can query it?

This post identifies a critical gap in AdTech data pipelines where cumulative latency between event occurrence and queryability can render data stale and valueless. It highlights that while individual stages might meet SLAs, the end-to-end latency (often 15-45 minutes) is not unified and leads to missed opportunities for real-time decision-making, budget pacing, and incident response. The core architectural solution proposed is to eliminate this gap by feeding Kafka pipelines directly into a low-latency engine where events are queryable upon arrival, transforming 'seconds to queryable' from a tuning goal into a fundamental architectural property, specifically for the customer-facing serving path.