DatriseAI-first ETL

Top Producer to Looker Studio Integration

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

How Datrise loads Top Producer into Looker Studio

Datrise syncs Top Producer's contacts, leads, listings, transactions, follow-up plans, and market snapshots 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

Top Producer: Real estate contact management and transaction follow-up.

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

How Top Producer entities map to Looker Studio

Top Producer entityLooker Studio objectNotes
contactstop_producer_contactsid PK · custom fields → flattened columns for chart fields
leadstop_producer_leadsid PK · linked to top_producer_contacts
listingstop_producer_listingsid PK · linked to top_producer_contacts
transactionstop_producer_transactionsid PK · linked to top_producer_contacts

FAQ

How does Datrise handle Top Producer'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 Top Producer to Looker Studio sync stay up to date?

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

Related pipelines

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