agregabas

Agregabas is a term used in data architecture to describe software components that aggregate data from multiple sources into a unified dataset or stream. The name is a portmanteau derived from the Spanish verb agregar, meaning to add, and the notion of a base data construct. The concept emerged in early 2010s practitioner writings as organizations sought to simplify access to distributed data without centralizing each source.

Characteristics include: connectors to diverse data systems, normalization and deduplication logic, and a pluggable transformation layer. Agregabas can operate in batch, streaming, or hybrid modes, and are typically designed to be stateless at the edge with state managed in a centralized store or in the aggregator itself. They expose unified schemas or contract-based interfaces and support incremental updates via change data capture or polling.

Applications include feeding data warehouses, powering real-time dashboards, enabling data services for downstream microservices, and enabling data quality governance by providing a single source of truth.

Implementation considerations include performance, fault tolerance, schema evolution, data provenance, security and access control, and governance. Common challenges include latency, data drift, and managing schema changes across sources.

Relationship to related concepts includes data integration, ETL/ELT pipelines, data virtualization, and event streaming.

See also: Data integration, ETL, data virtualization, streaming analytics.