Smart City Gnosys

Smart city article details

Title	Big Data Tools, Technologies, And Applications: A Survey
ID_Doc	12131
Authors	Arfat Y.; Usman S.; Mehmood R.; Katib I.
Year	2020
Published	EAI/Springer Innovations in Communication and Computing
DOI	http://dx.doi.org/10.1007/978-3-030-13705-2_19
Abstract	The outburst of data produced over the last few years in various fields has demanded new processing techniques, novel big data–processing architectures, and intelligent algorithms for effective and efficient exploitation of huge data sets to get useful insights and improved knowledge discovery. The explosion of data brings many challenges to deal with the complexity of information overload. Numerous tools and techniques have been developed over the years to deal with big data challenges. This chapter presents a summary of state-of-the-art tools and techniques for processing of big data applications by critically analyzing their objectives, methodologies, and key approaches to address the challenges associated with big data. Also, we critically analyze some of the core applications of big data and their impacts in improving the quality of human life by primarily focusing on healthcare and smart city applications, genome sequence annotation applications, and graph-based applications. We provide a detailed review and taxonomy of the research efforts within each application domain. © 2020, Springer Nature Switzerland AG.
Author Keywords	Apache Pig; Big data; Blink BD; Hadoop; HDFS; Hive; MapReduce; MongoDB; R; Spark; Storm; Talend; YARN

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