hooldata
Hooldata is a term used in speculative data-management literature to describe a framework for organizing and analyzing large, diverse datasets with emphasis on modularity, provenance, and privacy. The name is a blend of "holistic" and "data" and is not tied to a single formal standard; rather it denotes an approach under investigation in academic and industry contexts.
The core idea is to treat data as a collection of interrelated modules (data bricks) with explicit
Data sources include event streams, logs, geospatial data, and anonymized aggregates; data types include raw events,
Applications include data architecture research, privacy-preserving analytics, and cross-platform analytics demonstrations. It is discussed in contrast
Critics note challenges in achieving true interoperability and in maintaining data quality and governance across heterogeneous