- 著者
-
福島 綾一
植野 真臣
- 出版者
- 日本情報経営学会
- 雑誌
- 日本情報経営学会誌 (ISSN:18822614)
- 巻号頁・発行日
- vol.36, no.4, pp.18-28, 2016 (Released:2016-12-07)
This article introduces and reviews recent analyses methods on big data. We first introduce several kinds of definitions of big data based on Volume,Variety,Velocity, and Value extracted from data. Next, we describe that big data can be classified into three types – 1. various kinds of data with very large volume or producing very fast, 2. sparse data and 3. universal data –. Then we derive three important factors for utilizing big data – big data technologies, visualization and techniques for analyzing big data – and introduce the details of each factor corresponding to that three types of big data.