Abstract: Systems and methods are provided for conducting intelligent parallel searches of data sources. A search engine receives a request to access target data that is stored in at least one of multiple data sources. Each data source has a candidate index. The search engine extracts inquiry parameters from the request. The inquiry parameters corresponds to sub-indices of respective general indices. Each general index includes an index of relationships between data from at least two of the data sources. Each sub-index includes a subset of the respective general index. The search engine performs parallel searches of the general indices common to the data sources. Each parallel search includes searching the sub-indices based on corresponding inquiry parameters for the sub-indices. The search engine performs additional parallel searches of the candidate indices based on results of the parallel searches. The search engine extracts an output from results of the additional parallel searches.

Abstract: Systems and methods are provided for conducting intelligent parallel searches of data sources. A search engine receives a request to access target data that is stored in at least one of multiple data sources. Each data source has a candidate index. The search engine extracts inquiry parameters from the request. The inquiry parameters corresponds to sub-indices of respective general indices. Each general index includes an index of relationships between data from at least two of the data sources. Each sub-index includes a subset of the respective general index. The search engine performs parallel searches of the general indices common to the data sources. Each parallel search includes searching the sub-indices based on corresponding inquiry parameters for the sub-indices. The search engine performs additional parallel searches of the candidate indices based on results of the parallel searches. The search engine extracts an output from results of the additional parallel searches.