Three Paths to Your
Data Warehouse
Every DWH project starts differently. AutoWarehouse meets you where you are — whether you need a turnkey deployment, an incremental extension, or a greenfield build from source discovery.
Deploy a Ready-Made Industry Model
From zero to analytics-ready DWH in days, not months
Your organization needs a data warehouse but has no existing model. Pick a battle-tested industry template — Finance (IFDM), Telecom (ITDM), HR (HRDM), or others — and deploy a fully structured star-schema DWH with pre-built dimensions, fact tables, and SCD Type 2 handling.
A mid-size bank wants to consolidate regulatory reporting. They connect their core banking system, select the IFDM (Finance Data Model), and AutoWarehouse instantly provisions Foundation, Analytical, and Semantic layers. The ETL Code Generator exports production-ready Airflow DAGs and dbt models — deployed to the bank's own infrastructure within a week.
Extend & Customize an Existing Model
Evolve your DWH with new requirements — without starting over
You already have a data model or a partial warehouse. Import it, overlay new business requirements, and let AutoWarehouse extend the model — adding dimensions, facts, or entire subject areas while preserving what already works.
A telecom operator has been running ITDM for 3 years. New regulatory requirements demand a customer churn prediction subject area. They import their existing model, add new source tables from the CRM, and use the table-level mapping screen to see the full source-to-target picture. The AI suggests column mappings for new tables while preserving all existing mappings. A 'Save as New Version' snapshot ensures rollback safety. The ETL plugin generates incremental dbt models that slot into their existing pipeline.
Build from Scratch with AI Discovery
From business requirements to a fully modeled DWH — AI-assisted, human-approved
No existing model, complex source systems, specific business requirements. AutoWarehouse connects to your sources, generates a comprehensive Database DNA report, helps you design the target model from discovered insights, and maps everything — with human review and approval at every step.
A manufacturing conglomerate with 12 ERP instances across 4 countries needs a unified analytics platform. AutoWarehouse connects to all source systems and generates a Database DNA report: 2,400 tables profiled, 847 identified as actively used, 340 flagged as reference/lookup tables, 198 anomalies detected. The AI generates a comprehensive database dictionary with column-level documentation. Data engineers review and approve the discovery. They design a custom target model using insights from the DNA report, map all 847 active tables, and export PL/SQL ETL scripts and Spark jobs — all verified and approved before any code touches production.
Built on the same guarantees
Whichever way you start, the same engineering principles hold — from the first profiled table to the code that ships to production.
Which path fits
your project?
Tell us about your data warehouse needs. We'll show you the fastest path to production.