Google Cloud Storage F → Holistics

AI-first ETL from Google Cloud Storage F into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Cloud Storage F into Holistics

Datrise syncs Google Cloud Storage F's records, events, and configuration objects 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

Google Cloud Storage F: SaaS or API data source for analytics and warehouse sync.

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

How Google Cloud Storage F entities map to Holistics

Google Cloud Storage F entity	Holistics object	Notes
records	`google_cloud_storage_f_records`	id PK · custom fields → flattened columns for the modeling layer
events	`google_cloud_storage_f_events`	date/time dimensions events
configuration objects	`google_cloud_storage_f_configuration_objects`	id PK · linked to google_cloud_storage_f_records

FAQ

How does Datrise handle Google Cloud Storage F'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 Google Cloud Storage F to Holistics sync stay up to date?

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

Related pipelines

Early access

Connect Google Cloud Storage F to Holistics the easy way

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