DatriseAI-first ETL

Netsuite Suite Analytics Azure Synapse

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

How Datrise loads Netsuite Suite Analytics into Azure Synapse

Datrise syncs Netsuite Suite Analytics's records, events, and configuration objects 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

Netsuite Suite Analytics: SaaS or API data source for analytics and warehouse sync.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Netsuite Suite Analytics entities map to Azure Synapse

Netsuite Suite Analytics entityAzure Synapse objectNotes
recordsnetsuite_suite_analytics_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsnetsuite_suite_analytics_eventsdatetime2 events
configuration objectsnetsuite_suite_analytics_configuration_objectsid PK · linked to netsuite_suite_analytics_records

FAQ

How does Datrise handle Netsuite Suite Analytics'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 Netsuite Suite Analytics to Azure Synapse sync stay up to date?

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

Related pipelines

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