COMPUTING SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM FOR PROVIDING A MULTI-TENANT KNOWLEDGE NETWORK

摘要

A computing system includes memory comprising executable instructions and one or more processors operatively connected to the memory and configured to execute the executable instructions in order to effectuate a method. The method may include (i) analyzing raw data obtained from a plurality of different data sources in order to identify one or more data structures of the raw data and to tag data identifying at least one of the plurality of different data sources; and (ii) generating a plurality of Universal Data Model (UDM) constructs. Each UDM construct may be based at least in part on the identified one or more data structures of the raw data and each UDM construct may exclude the tagged data identifying at least one of the plurality of different data sources. Each UDM construct may organize the raw data into a particular arrangement of at least one row and at least one column.

主权项

1. A computing system comprising:
memory comprising executable instructions; and a processor operatively connected to the memory, the processor configured to execute the executable instructions in order to effectuate a method comprising the steps of:
analyzing raw data obtained from a plurality of different data sources in order to identify one or more data structures of the raw data and to tag data identifying at least one of the plurality of different data sources;generating a plurality of Universal Data Model (UDM) constructs, wherein each UDM construct is based at least in part on the identified one or more data structures of the raw data, wherein each UDM construct excludes the tagged data identifying at least one of the plurality of different data sources, wherein each UDM construct organizes the raw data into a particular arrangement of at least one row and at least one column, and wherein at least one UDM construct of the plurality of UDM constructs is different than another UDM construct of the plurality of UDM constructs;redacting the tagged data identifying at least one of the plurality of different data sources from the raw data to generate anonymous raw data; andintegrating the anonymous raw data from the plurality of different data sources such that the anonymous raw data conforms to the UDM construct for the identified one or more data structures of the raw data to provide anonymous UDM transformed data.