A centralized repository of integrated data from one or more disparate sources, used for reporting and data analysis.
A data warehouse centralises data from multiple systems (ads, analytics, CRM, bookings, email) into one place designed for analysis. This enables reliable reporting, faster queries, and consistent definitions - especially when you need to combine sources that don’t naturally talk to each other.
Browse related definitions in the same glossary category.
Data Enrichment
The process of enhancing existing data with third-party data to make it more useful and insightful.
Data Normalisation
Organising database tables to reduce redundancy and improve data integrity through structured relationships.
ETL / ELT
Extract, Transform, Load - processes for moving and transforming data between systems. ELT loads raw data first, then transforms.
Event-Driven Architecture
A design pattern where systems communicate through events, enabling loose coupling and real-time processing.
Multi-Tenant Architecture
A system design where a single instance serves multiple customers (tenants) with data isolation.
NoSQL Database
Non-relational databases designed for flexibility and scale, including document stores, key-value stores, and graph databases.
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