A Framework for Human Resource Information Systems Based on Data Streams

One of the key issues for a successful business is human resource management and that process is under significant influence of modern information technology. Human Resources Information Systems (HRIS) are systems used to collect, record, and store, analyze and retrieve data concerning an organization’s human resources. The study of dynamic data management is one of the burning topics among the HRIS. Although it has been studied extensively, a new kind of data, named streaming data, which have been appeared on the HRIS such as real-time monitoring of employee, is not well understood, because of its rapid data arriving speed and huge size of data set. This paper describes in the basic model and the architecture of a new system to manage human resource data streams for real-time applications. We first provide an overview of the elementary model and architecture and then describe in detail a stream-oriented set of operators. Ultimately, the experimental result shows that the model offers a better way of dynamic human resource data management that cannot be achieved with existing schemes.