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https://dspace.iiti.ac.in/handle/123456789/4557
| Title: | Big data architecture: Storage and computation |
| Authors: | Duggirala, Siddhartha |
| Keywords: | Digital storage;Data architectures;Data-sources;Industry experts;Informed decision;Big data |
| Issue Date: | 2014 |
| Publisher: | IGI Global |
| Citation: | Duggirala, S. (2014). Big data architecture: Storage and computation. Handbook of research on cloud infrastructures for big data analytics (pp. 129-156) doi:10.4018/978-1-4666-5864-6.ch006 |
| Abstract: | With the unprecedented increase in data sources, the question of how to collect them efficiently, effectively, and elegantly, store them securely and safely, leverage those stocked, polished, and maintained data in a smarter manner so that industry experts can plan ahead, take informed decisions, and execute them in a knowledgeable fashion remains. This chapter clarifies several pertinent questions and related issues with the unprecedented increase in data sources. © 2014 by IGI Global. All rights reserved. |
| URI: | https://doi.org/10.4018/978-1-4666-5864-6.ch006 https://dspace.iiti.ac.in/handle/123456789/4557 |
| ISBN: | 9781466658653; 1466658649; 9781466658646 |
| Type of Material: | Book Chapter |
| Appears in Collections: | Department of Computer Science and Engineering |
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