Data

Platforms & Engineering

The infrastructure underneath the reporting.

A reporting layer is only as reliable as what feeds it. DeepTeal builds and maintains the storage, pipelines and processing underneath, with a preference for designs that stay legible as they grow.

Areas of work

  • Warehouses and data storage Relational and analytical stores designed around how the data will be queried, not around a vendor’s reference architecture.

  • Pipelines and automation Reliable ingestion and transformation, with clear ownership and predictable failure modes. Removing recurring manual work is often the highest-value part.

  • Migrations and consolidation Moving reporting and analytical systems onto new infrastructure without losing the definitions and history that make the numbers comparable.

If this is close to something you are considering, a short description of the problem and the systems already involved is the most useful place to start. Get in touch.