COLLABORATIVELY ANALYZING DATA FROM DISPARATE DATA SOURCES

摘要

Collaborative analysis of data from disparate data sources includes data ingestion, data harmonization, data join relevance, in-memory iterative analytic data processing, multiuser data aware collaboration, visual transition and state management across visual transitions and/or web client and collaborative data-aware stores. Data is augmented with inferred data types and harmonized hierarchically. Queries are returned to the user with inferred data types and a calculated relevance and confidence indicia of the inferred data type.