DatriseAI-first ETL

Oracle Database to Holistics Integration

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

How Datrise loads Oracle Database into Holistics

Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes 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

Oracle Database: Oracle Database for enterprise transactional workloads.

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

How Oracle Database entities map to Holistics

Oracle Database entityHolistics objectNotes
tablesoracle_db_tablesid PK · custom fields → flattened columns for the modeling layer
rowsoracle_db_rowsid PK · linked to oracle_db_tables
schemasoracle_db_schemasid PK · linked to oracle_db_tables
indexesoracle_db_indexesid PK · linked to oracle_db_tables

FAQ

How does Datrise handle Oracle Database'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 Oracle Database to Holistics sync stay up to date?

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

Related pipelines

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