Extract, Transform, Load - processes for moving and transforming data between systems. ELT loads raw data first, then transforms.
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two ways to move data from a source (like your CRM) to a destination (like a Data Warehouse) for analysis.
If you want a dashboard that combines Google Ads spend with Hubspot deals, you need a pipeline (ETL/ELT) to get that data into one place. Tools like Fivetran and dbt have made ELT the industry standard.
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.
Data Warehouse
A centralized repository of integrated data from one or more disparate sources, used for reporting and data analysis.
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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