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Abstract(s)
Terabytes of data are generated day-to-day from modern information systems, cloud computing and digital technologies, as the increasing number of Internet connected devices grows. However, the analysis of these massive data requires many efforts at multiple levels for knowledge extraction and decision making. Therefore, Big Data Analytics is a current area of research and development that has become increasingly important. This article investigates cutting-edge research efforts aimed at analyzing Internet of Things (IoT) data. The basic objective of this article is to explore the potential impact of large data challenges, research efforts directed towards the analysis of IoT data and various tools associated with its analysis. As a result, this article suggests the use of platforms to explore big data in numerous stages and better understand the knowledge we can draw from the data, which opens a new horizon for researchers to develop solutions based on open research challenges and topics. © Springer International Publishing AG, part of Springer Nature 2018.
Description
Keywords
Big Data Analytics Internet of Things Hadoop Massive data Structured data Unstructured Data.
Pedagogical Context
Citation
Constante Nicolalde F., Silva F., Herrera B., Pereira A. Big data analytics in IOT: Challenges, open research issues and tools (2018) Advances in Intelligent Systems and Computing, 746, pp. 775 - 788. DOI: 10.1007/978-3-319-77712-2_73 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045338450&doi=10.1007%2f978-3-319-77712-2_73&partnerID=40&md5=1e6d58acd663c812c865a569f29d3329
Publisher
Springer International Publishing