Data & Cloud
A single source
of analytical truth.
A properly designed data warehouse gives every team in your organisation access to consistent, queryable, historical data. GreaterHeight designs and builds warehouse solutions that perform at scale, control cost, and remain maintainable as your data estate grows.
What We Build
Data warehouse services
Warehouse Design & Architecture
Dimensional modelling, schema design (star and snowflake), partitioning strategy, clustering, and cost governance — designed for your specific query patterns and growth trajectory.
Cloud Platform Implementation
End-to-end implementation on Snowflake, BigQuery, Redshift, or Azure Synapse — including account setup, security configuration, cost monitoring, and performance tuning.
Data Ingestion Pipelines
Batch and streaming ingestion from operational databases, SaaS tools, APIs, and files — using Fivetran, Airbyte, custom pipelines, or cloud-native connectors.
Transformation Layer (dbt)
dbt-based transformation models that clean, join, and aggregate raw data into business-ready tables — with tests, documentation, and lineage built into the codebase.
Access Control & Governance
Role-based access, row-level security, data masking, audit logging, and PII classification — ensuring the right people see the right data under compliance requirements.
Migration & Modernisation
Migration from legacy on-premise data warehouses (Teradata, Oracle, SQL Server) to modern cloud platforms — with minimal disruption to downstream analytics consumers.
Need a data warehouse that actually works?
Talk to our data team about architecture, platform selection, and migration.