DatriseAI-first ETL

Mssql SQL Server GoodData

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

How Datrise loads Mssql SQL Server into GoodData

Datrise syncs Mssql SQL Server's records, events, and configuration objects into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Mssql SQL Server entities map to GoodData

Mssql SQL Server entityGoodData objectNotes
recordsmssql_sql_server_recordsid PK · custom fields → flattened columns
eventsmssql_sql_server_eventsdate 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 GoodData?

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

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

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

Related pipelines

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