DatriseAI-first ETL

Sierra Interactive Looker Studio

AI-first ETL from Sierra Interactive into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Sierra Interactive into Looker Studio

Datrise syncs Sierra Interactive's contacts, accounts, deals, activities, and lifecycle events into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Sierra Interactive: Real estate CRM for leads, listings, and agent follow-up.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Sierra Interactive entities map to Looker Studio

Sierra Interactive entityLooker Studio objectNotes
contactssierra_interactive_contactsid PK · custom fields → flattened columns for chart fields
accountssierra_interactive_accountsid PK · linked to sierra_interactive_contacts
dealssierra_interactive_dealsid PK · linked to sierra_interactive_contacts
activitiessierra_interactive_activitiesdate dimension columns events

FAQ

How does Datrise handle Sierra Interactive's custom fields in Looker Studio?

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

How does the Sierra Interactive to Looker Studio sync stay up to date?

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

Related pipelines

Early access

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