DatriseAI-first ETL

Google Directory Redash

AI-first ETL from Google Directory into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Directory into Redash

Datrise syncs Google Directory's records, events, and configuration objects into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Google Directory: SaaS or API data source for analytics and warehouse sync.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Google Directory entities map to Redash

Google Directory entityRedash objectNotes
recordsgoogle_directory_recordsid PK · custom fields → flattened columns for query results
eventsgoogle_directory_eventstemporal columns events
configuration objectsgoogle_directory_configuration_objectsid PK · linked to google_directory_records

FAQ

How does Datrise handle Google Directory's custom fields in Redash?

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

How does the Google Directory to Redash sync stay up to date?

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

Related pipelines

Early access

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