Detection and enrichment of missing data or metadata for large data sets
Abstract:
Data stored in large scale systems often includes significant amounts of data and metadata. The data and metadata provide valuable structures for efficient data organization and analysis. However, when the data or metadata is missing, the missing data or metadata can cause disruption in organization and analysis efforts. A system with interactive user interfaces for enrichment of missing data or metadata is described. The system provides various dynamic filters to detect and identify data items with missing data or metadata. The system also provides for intuitive and efficient navigation of data items for determination of the missing data or metadata. Via its user interfaces, the system enables users to supply, or enrich, the missing data or metadata. Additionally, the user interfaces enable users to dynamically change available data or metadata values used for enrichment. Also, the system generates enriched output data sets, which may facilitate analysis of processes and systems.
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