Volume versus Variance: Implications of Data-Intensive Workflows

IEEE Data Engineering Bulletin, IEEE. 32 (2009) 3, pp. 42-47

6 Pages Posted: 12 Apr 2012  

Michael zur Muehlen

Stevens Institute of Technology - School of Business

Date Written: September 14, 2009

Abstract

A data-intensive workflow is a process that is faced with a large volume or highly variable forms of information. The increasing digitization of office processes, the use of workflows to integrate publicly available data sources, and the application of workflow technology to scientific problem solving have led to an increased interest in the design and deployment of data-intensive workflows. This paper discusses the notion of data-intensive workflows and outlines the implications of increasing data volumes and variances for the design of process-aware applications.

Keywords: Workflow, Data Management, Data-intensive Processes, Business Process Management

Suggested Citation

zur Muehlen, Michael, Volume versus Variance: Implications of Data-Intensive Workflows (September 14, 2009). IEEE Data Engineering Bulletin, IEEE. 32 (2009) 3, pp. 42-47. Available at SSRN: https://ssrn.com/abstract=2038660

Michael Zur Muehlen (Contact Author)

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States
2012168293 (Phone)

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