Backend Pipeline

Automated, multi-stage architecture for moving, transforming, and loading raw data into a destination for analysis and business logic execution.

The Backend Pipeline (Data Pipeline) is the critical framework defining how raw data is collected, processed, and moved between systems. It operates through distinct stages: Data Ingestion (acquiring data from sources like databases or APIs), Transformation (cleaning, filtering, and reformatting), and Storage (loading into a Data Warehouse or Data Lake). This automated process ensures data quality, improves efficiency, and delivers actionable insights for business intelligence at scale, often replacing traditional ETL/ELT methods for modern, real-time data needs.

https://rivery.io/blog/data-pipeline-architecture-key-components-best-practices/