DatriseAI-first ETL

Younium to Databricks SQL Warehouse Integration

AI-first ETL from Younium into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Younium into Databricks SQL Warehouse

Datrise syncs Younium's subscriptions, accounts, invoices, products, orders, and usage records into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Younium: B2B subscription management and recurring billing.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Younium entities map to Databricks SQL Warehouse

Younium entityDatabricks SQL Warehouse objectNotes
subscriptionsyounium_subscriptionsid PK · custom fields → VARIANT or STRUCT columns
accountsyounium_accountsid PK · linked to younium_subscriptions
invoicesyounium_invoicesid PK · linked to younium_subscriptions
productsyounium_productsid PK · linked to younium_subscriptions

FAQ

How does Datrise handle Younium's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Younium to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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