DatriseAI-first ETL

NetSuite SuiteAnalytics to Looker Integration

AI-first ETL from NetSuite SuiteAnalytics into Looker. Governed entities, incremental sync, typed landing tables.

How Datrise loads NetSuite SuiteAnalytics into Looker

Datrise syncs NetSuite SuiteAnalytics's transactions, customers, items, subsidiaries, journal entries, and sales orders into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

NetSuite SuiteAnalytics: ERP financials, orders, and inventory from NetSuite.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How NetSuite SuiteAnalytics entities map to Looker

NetSuite SuiteAnalytics entityLooker objectNotes
transactionsnetsuite_suite_analytics_transactionsid PK · custom fields → flattened columns (nested fields expanded for modeling)
customersnetsuite_suite_analytics_customersid PK · linked to netsuite_suite_analytics_transactions
itemsnetsuite_suite_analytics_itemsid PK · linked to netsuite_suite_analytics_transactions
subsidiariesnetsuite_suite_analytics_subsidiariesid PK · linked to netsuite_suite_analytics_transactions

FAQ

How does Datrise handle NetSuite SuiteAnalytics's custom fields in Looker?

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

How does the NetSuite SuiteAnalytics to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

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