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CubegleData · AI · Cloud
Service / Cloud Data Platforms

Cloud Data Platforms

We design cloud data warehouses and lakehouses that hold up under real query load, with governance and cost control built in from the start.

Common challenges we solve

  • Legacy warehouses that are slow, expensive, or hard to extend
  • No consistent modeling standard across teams
  • Cloud spend growing faster than the value it delivers

Our approach

  1. 01Choose warehouse or lakehouse architecture based on actual workload, not trend
  2. 02Model with star schemas, SCDs and partitioning strategies suited to query patterns
  3. 03Set access control and governance as part of the build, not an afterthought

Capabilities

  • Lakehouse and data warehouse architecture
  • Star schema modeling, SCDs, snapshots and versioning
  • Partitioning and incremental load strategies
  • Governance and access control
  • Migration and modernization from legacy platforms

Deliverables

  • Warehouse or lakehouse environment sized to workload
  • Modeled, documented schemas
  • Migration plan and cutover for legacy replacement

Related case studies

Let's talk about what your data should be doing for you

Tell us where you are today and where you're trying to get to. We'll respond with a clear, honest read on the path forward.