Big data is an expression for massive data sets consisting of both structured and unstructured data that are particularly difficult to store, analyze and visualize. Big data analytics has the potential to help companies or organizations improve operations as well as disclose hidden patterns and secret correlations to make faster and intelligent decisions. This article provides useful information on this emerging and promising field for companies, industries, and researchers to gain a richer and deeper insight into advancements. Initially, an overview of big data content, key characteristics, and related topics are presented. The paper also highlights a systematic review of available big data techniques and analytics. The available big data analytics tools and platforms are categorized. Besides, this article discusses recent applications of big data in chemical industries to increase understanding and encourage its implementation in their engineering processes as much as possible. Finally, by emphasizing the adoption of big data analytics in various areas of process engineering, the aim is to provide a practical vision of big data.

中文翻译：

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过程工程中应用的大数据分析机会

大数据是由结构化和非结构化数据组成的海量数据集的表达，这些数据特别难以存储、分析和可视化。大数据分析有可能帮助公司或组织改善运营，并揭示隐藏的模式和秘密相关性，从而做出更快、更明智的决策。本文为公司、行业和研究人员提供了有关这一新兴和有前途的领域的有用信息，以更丰富、更深入地了解进步。最初，介绍了大数据内容、关键特征和相关主题的概述。该论文还重点介绍了对可用大数据技术和分析的系统评价。对可用的大数据分析工具和平台进行了分类。除了，本文讨论了大数据在化学工业中的最新应用，以增加对其的理解，并尽可能鼓励其在工程过程中的实施。最后，通过强调在流程工程的各个领域采用大数据分析，目的是提供大数据的实用愿景。