The term “Big Data” has gained familiarity in the previous year in various academic forums, but its history dates to the early 1960s. Additionally, statistics have shown that “global citizens” became conversant with their data and analysis during those years (Asri, Mousannif, & Moatassime, 2019). What exactly does “Big Data” mean? This is a term used to represent the vast amount of structured and unstructured data that pervades our daily life (Dowling et al., 2019). The ability of a company to translate large and diverse amounts of data into usable information for its establishment is more important than just the amount of data itself. Therefore, certain methodologies should be employed in examining Big Data in the hopes of using it as a foundation for making better decisions and taking more strategic business initiatives. Subsequently, five key points were discovered by the author which were not published in other similar books. These key points include the following:

中文翻译：

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书评：张伦、王承军、徐小可《计算通信导论》

去年，“大数据”这个词在各种学术论坛上变得熟悉起来，但它的历史可以追溯到 1960 年代初。此外，统计数据表明，“全球公民”在那些年里已经熟悉了他们的数据和分析（Asri、Mousannif 和 Moatassime，2019 年）。“大数据”究竟是什么意思？这是一个术语，用于表示遍布我们日常生活的大量结构化和非结构化数据（Dowling 等人，2019 年）。公司将大量不同数量的数据转化为可用信息以供其成立的能力比数据本身的数量更重要。因此，在检查大数据时应采用某些方法，以期将其用作做出更好决策和采取更具战略性的业务计划的基础。随后，作者发现了五个在其他同类书籍中没有发表过的关键点。这些关键点包括：