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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bedi, P. Jindal, V. Gautam, A. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of Delhi, New Delhi, India (Bedi, P.; Jindal, V.; Gautam, A.) |
| Abstract | Big Data is a collection of datasets containing massive amount of data in the range of zettabytes and yottabytes. Organizations are facing difficulties in manipulating and managing this massive data as existing traditional database and software techniques are unable to process and analyze voluminous data. Dealing with Big Data requires new tools and techniques that can extract valuable information using some analytic process. Volume, Variety, Velocity, Value, Veracity, Variability and Complexity are attributes associated with Big Data in various works in the literature. In this paper, we briefly describe these existing attributes and also propose to add Viability, Cost and Consistency as new attributes to this set. This paper also discusses existing tools and techniques associated with Big Data. Fleet management is an evolving application of GPS data. It is taken as a case study in this work to illustrate various attributes of Big Data. This paper also presents the implementation of a sorting problem by varying Hadoop cluster sizes for the GPS data. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 520276 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479946747 |
| DOI | 10.1109/ICDMIC.2014.6954229 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-05 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | C's of Big Data Hadoop Big Data Global Positioning System Vehicles Sorting Databases Map Reduce V's of Big Data Big data Real-time systems GPS data Business |
| Content Type | Text |
| Resource Type | Article |
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