DatriseAI-first ETL

The Guardian API to Microsoft SQL Server Integration

AI-first ETL from The Guardian API into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads The Guardian API into Microsoft SQL Server

Datrise syncs The Guardian API's articles, sections, tags, contributors, publication dates, and headlines into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

The Guardian API: Guardian article archive and section metadata.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How The Guardian API entities map to Microsoft SQL Server

The Guardian API entityMicrosoft SQL Server objectNotes
articlesthe_guardian_api_articlesid PK · custom fields → NVARCHAR(MAX) JSON columns
sectionsthe_guardian_api_sectionsid PK · linked to the_guardian_api_articles
tagsthe_guardian_api_tagsid PK · linked to the_guardian_api_articles
contributorsthe_guardian_api_contributorsid PK · linked to the_guardian_api_articles

FAQ

How does Datrise handle The Guardian API's custom fields in Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the The Guardian API to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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