DatriseAI-first ETL

News API Databricks SQL Warehouse

AI-first ETL from News API into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads News API into Databricks SQL Warehouse

Datrise syncs News API's records, events, and configuration objects into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

News API: SaaS or API data source for analytics and warehouse sync.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How News API entities map to Databricks SQL Warehouse

News API entityDatabricks SQL Warehouse objectNotes
recordsnews_api_recordsid PK · custom fields → VARIANT or STRUCT columns
eventsnews_api_eventsTIMESTAMP events
configuration objectsnews_api_configuration_objectsid PK · linked to news_api_records

FAQ

How does Datrise handle News API's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the News API to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

Early access

Connect News API to Databricks SQL Warehouse 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.