Service Architecture
DWH: Enterprise data architecture.
Design and delivery of high-load data warehouses for enterprises — a single source of truth for strategic decision-making.
Core DWH competencies
Scalability
Horizontal scaling to process petabytes of data without loss of performance.
ETL / ELT
Automated data-processing pipelines with deep validation at every stage.
Real-Time
Low-latency, real-time analytics for operational control.
Security
Data encryption, role-based access, and compliance with international security standards.
Industrial-grade toolstack
Snowflake / BigQuery
Scalable cloud solutions for elastic workloads and separation of storage and compute.
Databricks / Spark
Combining the flexibility of a data lake with DWH performance. Ideal for ML and AI workloads.
PostgreSQL / ClickHouse
High-performance relational and columnar databases for specific on-premise architectures.
An engineering approach to data
We don't just deploy software — we design the entire data lifecycle, from raw stream to business insight.
Audit & Discovery
A deep dive into data sources, quality assessment, and business requirements. Producing the architecture brief.
Architecture Design
Designing the data schema, selecting the stack, and defining the topology of ETL/ELT processes. Creating blueprints.
Optimization & Support
Performance tuning, monitoring setup, and training the client team to work with the platform.
Implementation
Deploying infrastructure, configuring pipelines, and migrating historical data into the target system.
Business value
40%
Lower operational costs for data storage and processing through architecture optimisation.
2.5x
Faster reporting and insight, letting the business react to change instantly.
Ready to go deeper?
Tell us what you're trying to structure, connect, or control — we'll map the right architecture for your team.