Abstract: A method, a computer system, and a computer program product for digitally presenting a potentially competitive resource allocation for an organization. A computer system identifies employee data for a set of employees. The computer system determines a corresponding business function of a set of business functions for each employee of the set of employees by applying a normalized business function model to the employee data. The computer system determines an aggregate allocation for each business function based on a cumulative compensation of a subset of the set of employees in the corresponding business function. The computer system determines a resource distribution for the organization based on the aggregate allocations for each of the set of business functions. The computer system compares the resource distribution for the organization to a set of benchmark distributions to determine the competitive resource allocation for the organization.

Abstract: A computer-implemented method for processing information in a big data environment. A target query is received. The target query is run against a catalog to obtain desired fields for search and to filter for specific targets from which data will be extracted. Responsive to the query, particular data is extracted from the specific targets. Extracting includes defining a query pack comprising a configuration file and one or more files containing queries to execute on each target in the specific targets, the configuration file containing a section for each of the one or more files to customize configurations for each of the one or more files, and particular connection information defining relationships among the specific targets. One ingestion daemon is executed for every file of the one or more files in the query pack to produce results. The results are processed in a distributed parallel computing environment.

Abstract: A computer-implemented method for processing information in a big data environment. A target query is received. The target query is run against a catalog to obtain desired fields for search and to filter for specific targets from which data will be extracted. Responsive to the query, particular data is extracted from the specific targets. Extracting includes defining a query pack comprising a configuration file and one or more files containing queries to execute on each target in the specific targets, the configuration file containing a section for each of the one or more files to customize configurations for each of the one or more files, and particular connection information defining relationships among the specific targets. One ingestion daemon is executed for every file of the one or more files in the query pack to produce results. The results are processed in a distributed parallel computing environment.