Logs into BigQuery: 5 references for a real pipeline

Logs into BigQuery: 5 references for a real pipeline
When grep stops scaling, this is the path I'd hand a junior.

→ Google Cloud's load-from-GCS docs — newline-delimited JSON or CSV, partitioned by date. The unglamorous foundation.
→ Distilled / Builtvisible's BigQuery-for-SEO posts — first to popularize parsing access logs into a queryable table for crawl analysis.
★ Pick of the week — Hannah Rampton's "log files in BigQuery" walkthrough — full schema for Apache combined format, a regex UDF to split lines, and example queries for bot-by-day. Copy-paste ready.
→ JR Oakes on parsing User-Agents — a clean classification query to label Googlebot vs fakes at scale.
→ dbt docs — if you'll refresh daily, model it once and stop rewriting SQL.

Takeaway: partition by date, classify bots in a view, query the view. Cheap and fast.