DatriseAI-first ETL

RingCentral Holistics

AI-first ETL from RingCentral into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads RingCentral into Holistics

Datrise syncs RingCentral's calls, messages, users, queues, and meeting sessions into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

RingCentral: Cloud communications with voice, SMS, and meetings.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How RingCentral entities map to Holistics

RingCentral entityHolistics objectNotes
callsringcentral_callsid PK · custom fields → flattened columns for the modeling layer
messagesringcentral_messagesid PK · linked to ringcentral_calls
usersringcentral_usersid PK · linked to ringcentral_calls
queuesringcentral_queuesid PK · linked to ringcentral_calls

FAQ

How does Datrise handle RingCentral's custom fields in Holistics?

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

How does the RingCentral to Holistics sync stay up to date?

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

Related pipelines

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