DatriseAI-first ETL

Coin API Microsoft SQL Server

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

How Datrise loads Coin API into Microsoft SQL Server

Datrise syncs Coin API's records, events, and configuration objects 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

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Coin API entities map to Microsoft SQL Server

Coin API entityMicrosoft SQL Server objectNotes
recordscoin_api_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventscoin_api_eventsdatetime2 events
configuration objectscoin_api_configuration_objectsid PK · linked to coin_api_records

FAQ

How does Datrise handle Coin 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 Coin 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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