Organising database tables to reduce redundancy and improve data integrity through structured relationships.
Data normalisation is cleaning and standardising data so it’s comparable - for example, ensuring sources use consistent names (“google”, not “Google”/“google ads”), dates are in a single format, and currencies are aligned. Without normalisation, dashboards lie because they group the same thing under different labels.
The value is decision quality: clean data means fewer arguments about numbers and faster progress on what to do next.
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 Warehouse
A centralized repository of integrated data from one or more disparate sources, used for reporting and data analysis.
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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