Introduction to Big Data Technology
Bilal Abu-Salih (),
Pornpit Wongthongtham (),
Dengya Zhu (),
Kit Yan Chan () and
Amit Rudra ()
Additional contact information
Bilal Abu-Salih: The University of Jordan
Pornpit Wongthongtham: The University of Western Australia
Dengya Zhu: Curtin University
Kit Yan Chan: Curtin University
Amit Rudra: Curtin University
Chapter Chapter 2 in Social Big Data Analytics, 2021, pp 15-59 from Springer
Abstract:
Abstract Big data is no more “all just hype” but widely applied in nearly all aspects of our business, governments, and organizations with the technology stack of AI. Its influences are far beyond a simple technique innovation but involves all rears in the world. This chapter will first have historical review of big data; followed by discussion of characteristics of big data, i.e. from the 3V’s to up 10V’s of big data. The chapter then introduces technology stacks for an organization to build a big data application, from infrastructure/platform/ecosystem to constructional units and components. Finally, we provide some big data online resources for reference.
Keywords: Big data; 3V of big data; Cloud computing; Data lake; Enterprise data centre; PaaS; IaaS; SaaS; Hadoop; Spark; HBase; Information retrieval; Solr (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-6652-7_2
Ordering information: This item can be ordered from
http://www.springer.com/9789813366527
DOI: 10.1007/978-981-33-6652-7_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().