Big data principles and paradigms
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....
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Cambridge, MA
Morgan Kaufmann is an imprint of Elsevier
[2016]
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| 500 | |a Includes bibliographical references and index. - Online resource; title from PDF title page (ScienceDirect, viewed July 11, 2016) | ||
| 520 | |a 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. | ||
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Datensatz im Suchindex
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| discipline | Informatik |
| format | Electronic eBook |
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| indexdate | 2024-12-18T08:47:12Z |
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| isbn | 9780128093467 0128093463 |
| language | English |
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| physical | 1 online resource (xxv, 468 pages) illustrations (some color) |
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| publishDate | 2016 |
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| publisher | Morgan Kaufmann is an imprint of Elsevier |
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| spelling | Big data principles and paradigms edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi Cambridge, MA Morgan Kaufmann is an imprint of Elsevier [2016] 1 online resource (xxv, 468 pages) illustrations (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (ScienceDirect, viewed July 11, 2016) 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. Big data Données volumineuses COMPUTERS ; Data Processing dissertations Academic theses Thèses et écrits académiques Buyya, Rajkumar 1970- HerausgeberIn edt Calheiros, Rodrigo N. HerausgeberIn edt Vahid Dastjerdi, Amir HerausgeberIn edt 0128053941 Erscheint auch als Druck-Ausgabe 0128053941 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9780128093467/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Big data principles and paradigms Big data Données volumineuses COMPUTERS ; Data Processing dissertations Academic theses Thèses et écrits académiques |
| title | Big data principles and paradigms |
| title_auth | Big data principles and paradigms |
| title_exact_search | Big data principles and paradigms |
| title_full | Big data principles and paradigms edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi |
| title_fullStr | Big data principles and paradigms edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi |
| title_full_unstemmed | Big data principles and paradigms edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi |
| title_short | Big data |
| title_sort | big data principles and paradigms |
| title_sub | principles and paradigms |
| topic | Big data Données volumineuses COMPUTERS ; Data Processing dissertations Academic theses Thèses et écrits académiques |
| topic_facet | Big data Données volumineuses COMPUTERS ; Data Processing dissertations Academic theses Thèses et écrits académiques |
| url | https://learning.oreilly.com/library/view/-/9780128093467/?ar |
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