DatriseAI-first ETL

Mssql SQL Server Holistics

AI-first ETL from Mssql SQL Server into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mssql SQL Server into Holistics

Datrise syncs Mssql SQL Server's records, events, and configuration objects into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Mssql SQL Server: SaaS or API data source for analytics and warehouse sync.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Mssql SQL Server entities map to Holistics

Mssql SQL Server entityHolistics objectNotes
recordsmssql_sql_server_recordsid PK · custom fields → flattened columns for the modeling layer
eventsmssql_sql_server_eventsdate/time dimensions events
configuration objectsmssql_sql_server_configuration_objectsid PK · linked to mssql_sql_server_records

FAQ

How does Datrise handle Mssql SQL Server's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Mssql SQL Server to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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