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Enterprise Data Architecture
Secure, adaptable lakehouse design that handles any volume from any source system.
- —Current-state warehouse review
- —Medallion & Unity Catalog design
- —Real-time processing needs
End-to-end migrations from legacy systems to a governed medallion lakehouse on Databricks — with the reporting and AI assistants on top that your teams will actually use.
Your business collects more data than ever — but it’s scattered across spreadsheets, aging warehouses and systems that don’t talk. We bring it together in one lakehouse, so every team sees the same truth, in real time.
Architecture through answers. Take the whole journey with us, or bring us in exactly where you’re stuck.
Secure, adaptable lakehouse design that handles any volume from any source system.
Pipelines, history and business logic moved to Databricks — and reconciled to the penny.
Real-time dashboards built on the gold layer, and training so your team owns them.
AI assistants that answer business questions in plain language — grounded in your governed data.
Where are you on your data journey? Every engagement lands in the same proven medallion architecture — wherever you start.
Clear milestones, costs up front, and knowledge that stays with your team long after cutover.
Stakeholder sessions and probing questions to map how your data is structured today and where it breaks.
A prioritized solution set with costs, needs versus wants, what each piece delivers and training required.
A migration timeline in waves, with clearly owned milestones for every party.
Build, reconcile, cut over and train — then retire legacy on a schedule you approve.
Our founders have spent a decade together as data leaders in corporate America, moving companies onto modern platforms — and cleaning up after the ones that went sideways. Now we bring that playbook to you, Databricks-first.
Tell us what you’re migrating from and where you want to land. We’ll come back with a free 30-minute assessment call.
Include your current platform (Teradata, SQL Server, Redshift…), rough data volume, and what you want to get to. We reply within one business day.
Request an assessment