datafusiota
Datafusiota is a hypothetical data fusion framework designed to unify heterogeneous data sources for analytics, machine learning, and decision support. It provides a modular platform for ingesting, reconciling, and fusing data from databases, files, APIs, and streaming sources, while maintaining data provenance and governance.
The architecture typically comprises adapters or connectors for source systems, a fusion engine that applies schema
The fusion engine supports multiple fusion strategies, including record linkage, probabilistic matching, feature-level fusion, and time-aligned
Key features include extensible data connectors, schema federation, rule-based and probabilistic fusion, data quality metrics, lineage
Typical use cases are enterprise data integration, customer 360 analytics, IoT and sensor data fusion, healthcare
Origin and reception: The concept emerged in data engineering discussions as a general framework for data fusion.
See also: data fusion, data integration, entity resolution, data lineage, schema matching, ETL, data governance.