New York Times to Amazon Redshift Integration
AI-first ETL from New York Times into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads New York Times into Amazon Redshift
Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
New York Times: Article archive and top-stories metadata.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How New York Times entities map to Amazon Redshift
| New York Times entity | Amazon Redshift object | Notes |
|---|---|---|
| articles | new_york_times_articles | id PK · custom fields → SUPER columns |
| sections | new_york_times_sections | id PK · linked to new_york_times_articles |
| headlines | new_york_times_headlines | id PK · linked to new_york_times_articles |
| bylines | new_york_times_bylines | id PK · linked to new_york_times_articles |
FAQ
How does Datrise handle New York Times's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the New York Times to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
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Early access
Connect New York Times to Amazon Redshift the easy way
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