Data process and analysis technologies of big data
Edited book (chapter)
Chapter Title | Data process and analysis technologies of big data |
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Book Chapter Category | Edited book (chapter) |
ERA Publisher ID | 1624 |
Book Title | Networking for big data |
Authors | Wlodarczak, Peter (Author), Ally, Mustafa (Author) and Soar, Jeffrey (Author) |
Editors | Yu, Shui, Lin, Xiaodong, Misic, Jelena and Shen, Xuemin (Sherman) |
Page Range | 103-119 |
Series | Big Data Series |
Chapter Number | 6 |
Number of Pages | 17 |
Year | 2016 |
Publisher | CRC Press |
Place of Publication | Boca Raton, FL, United States |
ISBN | 9781482263503 |
Web Address (URL) | https://www.crcpress.com/Networking-for-Big-Data/Yu-Lin-Misic-Shen/p/book/9781482263497 |
Abstract | Mayer-Schonberger and Cukier define Big Data as 'the ability of society to harness informationin novel ways to produce useful insights or goods and services of significant value [1].' Throughout the current literature, Big Data is usually defined by the three Vs: volume, velocity, and variety. Volume refers to the large amount of data. 'Large' ranges from gigabytes to petabytes. Typically, the volume increases, but the data itself does not change. Velocity refers to the speed at which the data volume grows. For instance, on Facebook more than 500â•–TB of data is created daily [2]. Variety describes the data types in Big Data. Big Data usually consists of structured, semistructured, and unstructured data. Big Data |
Keywords | data process, data analysis, big data technologies |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Management and Enterprise |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q423x/data-process-and-analysis-technologies-of-big-data
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