DatriseAI-first ETL

New York Times to Google BigQuery Integration

AI-first ETL from New York Times into Google BigQuery. Governed entities, incremental sync, typed landing tables.

How Datrise loads New York Times into Google BigQuery

Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.

Ideal for Google-stack analytics and ML on serverless infrastructure.

Endpoints

New York Times: Article archive and top-stories metadata.

Google BigQuery: Serverless analytics warehouse on GCP.

How New York Times entities map to Google BigQuery

New York Times entityGoogle BigQuery objectNotes
articlesnew_york_times_articlesid PK · custom fields → JSON or nested/repeated (STRUCT) columns
sectionsnew_york_times_sectionsid PK · linked to new_york_times_articles
headlinesnew_york_times_headlinesid PK · linked to new_york_times_articles
bylinesnew_york_times_bylinesid PK · linked to new_york_times_articles

FAQ

How does Datrise handle New York Times's custom fields in Google BigQuery?

Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.

How does the New York Times to Google BigQuery sync stay up to date?

It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.

Related pipelines

Early access

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