DatriseAI-first ETL

Short.io to Databricks SQL Warehouse Integration

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

How Datrise loads Short.io into Databricks SQL Warehouse

Datrise syncs Short.io's links, domains, clicks, referrers, countries, and link tags 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

Short.io: Branded short links and click analytics.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Short.io entities map to Databricks SQL Warehouse

Short.io entityDatabricks SQL Warehouse objectNotes
linksshort_io_linksid PK · custom fields → VARIANT or STRUCT columns
domainsshort_io_domainsid PK · linked to short_io_links
clicksshort_io_clicksid PK · linked to short_io_links
referrersshort_io_referrersid PK · linked to short_io_links

FAQ

How does Datrise handle Short.io'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 Short.io 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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