Abstract—Big data is an emerging approach to data processing and analytics that will demand advances in data management. Big data goes beyond traditional operational and data warehousing databases to address the rapid increase in both size and variety of data. Big data brings with it many opportunities to extend and enhance the value of data for business in many industries. This paper examines the dimensions of big data and opportunities that that big data offers. A big data life cycle is summarized. The four dimensions of data are then used to analyze the impact of big data on data management throughout the big data life cycle. Findings include that big data brings with it substantial challenges that impact every phase of the big data life cycle and will require substantial advances in data management.
Index Terms—Big data, data management, data life cycle, analytics.
The authors are with Math & Computer Science Department, Webster University, St. Louis, Missouri, USA (e-mail: kourikjl@webster.edu,
wang@webster.edu).
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Cite: Janet L. Kourik and Jiangping Wang, "The Intersection of Big Data and the Data Life Cycle: Impact on Data Management," International Journal of Knowledge Engineering vol. 3, no. 2, pp. 32-36, 2017.
