Abstract
Big Data Architecture refers to the infrastructure and processes used to store, manage and analyse large, complex data sets. This topic is widely considered to be challenging due to the ever-increasing volume of data and the need for scalable infrastructure to accommodate it. The aim of this study is to illustrate the current trends in Big Data Architecture through a bibliometric analysis. A comprehensive analysis of Big Data Architecture articles was conducted. Based on the keywords "Big Data Architecture", 151 articles were compiled for further analysis. Between 2014 and 2022, the growth rate of Big Data Architecture literature has increased.
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