Abstract: A method is provided for enabling a software user to obtain answers based on information retrieved from Big Data systems to complex questions, which comprises the steps of: providing a plurality of queries associated with different query families, the different query families comprise at least one family of simple queries and at least one query family of complex query family, and each of the families is associated with the following characterizing elements: information sources, entity type for which one or more features would be synthesized, attributes to be used as filters and attributes for calculating the new features; retrieving data from the respective information sources; processing the retrieved data to enable evaluating results of the queries associated with the at least one simple query families; calculating solutions to all queries and synthesizing features characterizing the answers, based on the calculated solutions.

Abstract: A method is provided for enabling a software user to obtain answers based on information retrieved from Big Data systems to complex questions, which comprises the steps of: providing a plurality of queries associated with different query families, the different query families comprise at least one family of simple queries and at least one query family of complex query family, and each of the families is associated with the following characterizing elements: information sources, entity type for which one or more features would be synthesized, attributes to be used as filters and attributes for calculating the new features; retrieving data from the respective information sources; processing the retrieved data to enable evaluating results of the queries associated with the at least one simple query families; calculating solutions to all queries and synthesizing features characterizing the answers, based on the calculated solutions.