Data & AI Practice
Data Warehouse Services
A data warehouse is the curated, structured store that most analytics and reporting ultimately depends on. Erpvora designs, builds and tunes cloud data warehouses with sound modelling, clear governance and cost control, so queries are fast, results are consistent and spend stays predictable.
Design, build and optimize cloud data warehouses that serve curated, governed data for analytics and reporting at scale.
The business challenge
Warehouses degrade without discipline. Models drift, ad hoc tables proliferate, and query cost climbs as every analyst writes heavy scans against raw data. What began as a clean design becomes an expensive tangle.
Poor modelling also undermines trust. When facts and dimensions are inconsistent or history is not handled properly, the same question returns different answers over time, and finance and operations lose confidence in the warehouse they are meant to rely on.
Our approach
We apply proven dimensional and layered modelling, separating raw, integrated and presentation layers so logic is clear and reusable. We handle history, keys and grain deliberately rather than by accident.
We design for the economics of cloud warehousing, where storage and compute are separate and cost follows usage. We pre aggregate sensibly, manage workloads and monitor spend, so performance and cost are both under control as data grows.
Capabilities
- Dimensional and layered warehouse modelling
- History, slowly changing dimensions and key management
- Transformation pipelines feeding the warehouse
- Query performance tuning and workload management
- Cost monitoring and optimization for cloud warehouses
- Governance, access control and documentation
How we deliver
- 01
Model design
We design the warehouse layers, facts, dimensions and grain around the business questions it must answer.
- 02
Build layers
We implement raw, integrated and presentation layers with tested transformations and clear lineage.
- 03
Load history
We handle historical loads, slowly changing dimensions and keys so time based analysis is reliable.
- 04
Tune and control
We optimize queries, manage workloads and set cost guardrails so performance and spend stay in balance.
- 05
Govern
We apply access control, documentation and ownership so the warehouse stays clean as it grows.
Typical use cases
- Designing a new cloud data warehouse for enterprise reporting
- Remodelling a warehouse that has drifted into inconsistency
- Handling history correctly for time based and audit analysis
- Tuning queries and workloads to cut warehouse cost
- Building a presentation layer that BI tools consume consistently
- Consolidating departmental data into one curated warehouse
Business impact
- Fast, consistent queries for analytics and reporting
- Reliable history for trend and audit analysis
- Predictable, controlled cloud warehouse cost
- Reusable curated layers that reduce duplication
- Clear governance, access control and documentation
- A trusted serving layer for BI and analytics
Frequently asked questions
Warehouse or lakehouse?
Both have a place. Curated structured serving is often best in a warehouse style layer, while open storage suits raw and engineered data. We design the right combination for your workloads.
How do you control cloud warehouse cost?
We separate storage and compute thinking, pre aggregate heavy queries, manage concurrency and monitor spend so cost tracks usage rather than surprising you.
Do you fix an existing warehouse or start fresh?
We assess first. Often remodelling the presentation layer and tightening governance is enough, and we only rebuild where the foundations are genuinely unsound.
How is history handled?
We model slowly changing dimensions and historical loads deliberately so point in time and trend questions return consistent, auditable answers.