理論および計算科学ジャーナル
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概要

Local and Global Measures for Measuring the Performance of Big Data Analytics (BDA) Process

Yusmadi Yah Jusoh

Performance measurement is defined as the process of quantifying the efficiency and effectiveness of an action or a process. BDA system, viewed a process, has both front-end and back-end performance properties. The BDA process phases, data acquisition, data preparation, and data analysis, determine how the systems performs according to a given time and resources. In visualization and interpretation phases, users see the analytics results and interpret them into their context. The performance measurement of the BDA process uses two categories of measures: Local measures and global measures. The local measures consist of efficiency measures to assess the BDA system’s functions, and effectiveness measures to assess user satisfaction towards the system. The global measures are used to advance the performance of the BDA process as a whole. They include the measures of technology, competency, and working conditions. Figure 1 shows the two categories and the metrics for each.