Big Data Principles and Paradigms
| Other author | Buyya, Rajkumar Editor |
| Other author | Calheiros, Rodrigo N. Editor |
| Other author | Vahid Dastjerdi, Amir Editor |
| Format | Electronic |
| Publication Info | Morgan Kaufmann [Imprint] San Diego : Elsevier Science & Technology Books |
| Description | 494 p. 09.250 x 07.500 in. |
| Supplemental Content | Full text available from eBook - Computer Science 2016 [EBCCS16] |
| Subjects |
| Summary | Annotation "Big Data: Principles and Paradigms" captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications.To help realize Big Data s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.Covers computational platforms supporting Big Data applicationsAddresses key principles underlying Big Data computingExamines key developments supporting next generation Big Data platformsExplores the challenges in Big Data computing and ways to overcome themContains expert contributors from both academia and industry" |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9780128053942 |
| ISBN | 0128053941 (Trade Paper) Active Record |
| Standard identifier# | 9780128053942 |
| Stock number | 00991439 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |