Data Warehouse & Lakehouse Design
Bring fragmented data into a clear analytics architecture. Design a warehouse, lakehouse or combined approach around your reporting needs, data workloads and team capabilities.
Disconnected data sources, duplicated transformation logic and unclear data structures make reporting difficult to maintain. We review your source systems, reporting requirements and existing platform to define how data should be organised, transformed and made available for analysis.
We help you choose between a warehouse, lakehouse or combined architecture based on your workloads and operating needs. The design defines data layers, business entities, access boundaries and integration patterns, with implementation and validation agreed around your project scope.
What We Work On
We connect business requirements with practical decisions about data architecture, modelling and platform operations.
Warehouse & Lakehouse Architecture
We define the role of each platform component, organise data layers and choose an architecture suited to your reporting, transformation and analytical workloads.
Data Structures & Dimensional Modelling
We define business entities, fact and dimension tables, data granularity and historical tracking requirements to support consistent analysis.
Integration, Security & Operations
We design ingestion and transformation patterns, access boundaries and operational responsibilities, including monitoring, recovery and data quality checks.
What You Receive
Receive a documented architecture, clear design decisions and an actionable plan for implementation.
Architecture Review & Requirements
Target Architecture & Design Decisions
Data Model & Integration Specifications
Implementation Roadmap & Handover
When to Contact Us
Contact us when your current data foundation makes reporting, integration or platform development difficult to manage.
Warehouse or Lakehouse Uncertainty
Your team needs a clear basis for choosing the right architecture and understanding the trade-offs.
Repeated Data Preparation
Different teams rebuild the same transformations and maintain separate versions of business data.
Fragmented Data Sources
Business data is spread across systems, spreadsheets and separate reporting databases.
A Platform That Is Hard to Extend
Adding new sources or reporting requirements requires extensive rework and creates maintenance problems.
We assess your requirements, design the target architecture and validate the approach before wider implementation.
Assess
Review source systems, reporting priorities, data volumes and operational constraints. Agree the scope and success criteria.
Design
Define the architecture, data structures, integration patterns and security boundaries. Document the key decisions and delivery sequence.
Validate & Handover
Validate the design with a priority workload or agreed review scenarios. Refine the specifications and hand over the implementation plan.
