New York Times to Snowflake Integration
AI-first ETL from New York Times into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads New York Times into Snowflake
Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
New York Times: Article archive and top-stories metadata.
Snowflake: Cloud data warehouse with separated compute and storage.
How New York Times entities map to Snowflake
| New York Times entity | Snowflake object | Notes |
|---|---|---|
| articles | new_york_times_articles | id PK · custom fields → VARIANT 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 Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the New York Times to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for New York Times
- New York Times → Google BigQuery
- New York Times → Amazon Redshift
- New York Times → Databricks SQL Warehouse
- New York Times → ClickHouse
- New York Times → DuckDB
- New York Times → Amazon Athena
- New York Times → Amazon S3 Data Lake
- New York Times → Azure Data Lake Storage
- New York Times → Azure Synapse
- New York Times → Spreadsheets
- New York Times → Airtable
- New York Times → CSV Files
Early access
Connect New York Times to Snowflake the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.