Abstract
Due to the ever increasing amount of data that is produced and captured in today’s world, the concept of big data has risen to prominence. However, implementing the respective applications is still a challenging task. This holds especially true, since a high degree of flexibility is desirable. One potential approach is the utilization of novel decentralized technologies, as in the case of microservices to construct such big data analytics solutions. To obtain an overview of the current situation regarding the corresponding research, using the scientific database Scopus and its provided tools for search and analytics, this bibliometric review provides an analysis of the literature and subsequently discusses avenues for future research.
Highlights
The world of today is influenced by an ongoing increase in the amount of data [1], [2] that are created, captured, stored and analyzed [3]
This review aims to bridge this gap by answering the following research questions: RQ1: What is the current situation in the research combining big data and microservices?
The posed research questions will be answered, providing an overview of the current situation regarding research that combines the domains of big data and microservices as well as outlining avenues for future research
Summary
The world of today is influenced by an ongoing increase in the amount of data [1], [2] that are created, captured, stored and analyzed [3]. While initially being referred to as a synonym for large amounts of data that cannot be handled by relational databases and technologies of that time, today it covers a variety of advanced data characteristics, technologies, paradigms and methods [17]. During this time, the concept has undergone significant changes that dramatically moved the term from a hype topic [18] to the foundation of most of the data-driven and data-intensive projects known today [12].
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