卷期 : 44 / 2
出版年 : 2016/04/01
大數據一詞逐漸蔚為資訊業新潮流,但大數據僅止於過譽的潮流或確有其價值?本文將大數據產業分為五階層(來源、儲存、運算、應用、決策)開始,由下至上逐層說明,並將重點置於中間三層。在儲存與運算的說明中,將以介紹常見開源運算平台為主,並簡介GPU在高性能運算上的價值;而在應用中則列舉資料分析常見的技術領域及其主要方法。尤有甚者,藉由從需求、資料、技術彼此的三元關係出發,期使更為精確地掌握分析工具與分析技術的特性及優缺點。唯有如此,從植基於需求的觀點出發,資料隱匿的價值才得以顯現於我們面前。最後,本文討論國軍運用及未來發展與挑戰。Big data would have to be a new trend of information industry. However, is big data, as a trend, merely over-rated or noteworthy? In this study, starting with partitioning big data industry into five layers which are sources, storages, computations, applications and decisions, we would give a bottom-up introduction through layers and highlight the three layers in the middle. When introducing storages and computations, we would focus on the open-sourced computation platforms, and state the value of GPU on high performance computation. When introducing applications, we would enumerate the fields of technology which are applied by industry popularly and introduce their major approaches. In addition, from the ternary relationship among requirement, data and techniques, hope that we can get over the properties, pros and cons of analytics and techniques more precisely. Not until we start with the viewpoint of requirement by doing so, will the implicit value of data reveal to us. Finally, we state applications and challenges of the development in the future which the army would face.
關鍵詞 : 大數據(Big Data)、資料分析工具(Data Analytics)、機器學習(Machine Learning)、資料探勘(Data Mining)、平行化運算(Parallelized Computing)