Data Warehouses and Databases

Long-term analytical storage, cross-source joins, and — in some setups — an operational database that other systems already read from.

Companies with a warehouse have already invested in modeling and access control there. The Forge can feed it operational events rather than force a re-platform.

• Reference data (customer lists, product catalogs) where the warehouse is authoritative
• Segmentation results computed in the warehouse

• Operational events streamed or scheduled to the warehouse
• Curated tables for BI consumption
• Shared identifiers to keep records joinable across sources

• Scheduled sync interval reached
• Operational event that a warehouse table subscribes to
• Segmentation result available

• Building bespoke ETL for every operational event
• Reconciling identifiers across sources by hand
• Rebuilding customer segments that already exist in the warehouse

• Information technology or technical administrator
• Owner / executive
• Finance and accounting

• Every warehouse-backed dashboard already in place
• Cross-source cohorts joined on shared identifiers

• Uses scoped warehouse credentials with least-privilege on the specific tables.
• Egress respects the customer's warehouse network policy.

• Real-time streaming depends on the warehouse's ingest capabilities.
• Very large historical backfills are scoped as custom work.

The Forge does not replace a data warehouse. It becomes one of its most operationally-clean sources.