DatriseAI-first ETL

GNews to Azure Synapse Integration

AI-first ETL from GNews into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads GNews into Azure Synapse

Datrise syncs GNews's articles, sources, headlines, publication dates, topics, and search queries into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

GNews: News article search across publishers.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How GNews entities map to Azure Synapse

GNews entityAzure Synapse objectNotes
articlesgnews_articlesid PK · custom fields → NVARCHAR(MAX) JSON columns
sourcesgnews_sourcesid PK · linked to gnews_articles
headlinesgnews_headlinesid PK · linked to gnews_articles
publication datesgnews_publication_datesid PK · linked to gnews_articles

FAQ

How does Datrise handle GNews's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the GNews to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

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