Abstract: Apparatuses, computer readable medium, and methods are disclosed for determining talent seekers. The apparatus, computer readable medium, and methods may include importing a job posting from an external source into a connection network system. The apparatus, computer readable medium, and methods may include deter mining a company stored in the connection network system that is offering the job, and determining talent seekers associated with the company, where the talent seekers are members of the connection network system. The apparatus, computer readable medium, and methods may include determining a matching score between each of the talent seekers and the job and a job seeker and selecting a talent seeker with a highest matching score. The apparatus, computer readable medium, and methods may include causing to be displayed to the job seeker a user interface screen that enables the job seeker to message the talent seeker with the highest matching score.

Abstract: Apparatuses, computer readable medium, and methods are disclosed for determining talent seekers. The apparatus, computer readable medium, and methods may include importing a job posting from an external source into a connection network system. The apparatus, computer readable medium, and methods may include deter mining a company stored in the connection network system that is offering the job, and determining talent seekers associated with the company, where the talent seekers are members of the connection network system. The apparatus, computer readable medium, and methods may include determining a matching score between each of the talent seekers and the job and a job seeker and selecting a talent seeker with a highest matching score. The apparatus, computer readable medium, and methods may include causing to be displayed to the job seeker a user interface screen that enables the job seeker to message the talent seeker with the highest matching score.

Abstract: Some implementations may provide a computer-assisted method for master data management, the method including: receiving configuration information defining a model of entities, each entity encoding attributes of a prescriber of one or more healthcare products; receiving specification information defining mapping logic, searching logic, and matching logic, and merging logic for processing base entities and related entities of the model; receiving data from more than one source customer databases, the customer database including data encoding prescribers of healthcare products and being maintained by more than one organizations; translating the received data into staging data according to the mapping logic in the received specification information; generating master data by processing the staging data according to the searching logic, matching logic, and merging logic in the received specification information; and synchronizing at least a portion of the master data to at least one of the source customer database

Abstract: Some implementations may provide a computer-assisted method for master data management, the method including: receiving configuration information defining a model of entities, each entity encoding attributes of a prescriber of one or more healthcare products; receiving specification information defining mapping logic, searching logic, and matching logic, and merging logic for processing base entities and related entities of the model; receiving data from more than one source customer databases, the customer database including data encoding prescribers of healthcare products and being maintained by more than one organizations; translating the received data into staging data according to the mapping logic in the received specification information; generating master data by processing the staging data according to the searching logic, matching logic, and merging logic in the received specification information; and synchronizing at least a portion of the master data to at least one of the source customer database

Abstract: Techniques are described herein for determining completion of a Web server download session at a database server. A Web server initiates a download session for downloading a requested resource (e.g., a file or an output of an executable) to a client. The download session includes download operation(s), each corresponding to a respective portion of the requested resource. The Web server incorporates a session-specific identifier indicative of the download session and/or byte range indicator(s) corresponding to the respective download operation(s) into Web server log files. The database server uses the session-specific identifier and/or byte range indicator(s) to determine that the download operation(s) are included in the download session. The database server determines a download pattern corresponding to the download session based on download request(s) that correspond to the download operation(s).

Abstract: Some implementations may provide a computer-assisted method for master data management, the method including: receiving configuration information defining a model of entities, each entity encoding attributes of a prescriber of one or more healthcare products; receiving specification information defining mapping logic, searching logic, and matching logic, and merging logic for processing base entities and related entities of the model; receiving data from more than one source customer databases, the customer database including data encoding prescribers of healthcare products and being maintained by more than one organizations; translating the received data into staging data according to the mapping logic in the received specification information; generating master data by processing the staging data according to the searching logic, matching logic, and merging logic in the received specification information; and synchronizing at least a portion of the master data to at least one of the source customer database