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

What this post added

This post identifies the problem of significant latency in AdTech data pipelines, where data freshness is critical due to rapid value decay. It explains how cumulative latency across multiple stages, even with healthy individual components, leads to delayed insights and impacts critical functions like budget pacing and launch verification. The post proposes an architectural shift towards low-latency engines that make events queryable immediately upon arrival, contrasting this with traditional batch processing and lakehouse architectures for archival and model training.