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Big data computing / [edited by] Rajendra Akerkar.

Contributor(s): Material type: TextTextPublication details: Boca Raton : CRC Press, c2014.Description: xxii, 542 p. : illustrations ; 25 cmISBN:
  • 9781466578371 (hardback)
Subject(s): DDC classification:
  • 006.312 23 Ak314
Contents:
1. Toward evolving knowledge ecosystems for big data understanding / Vadim Ermolayev [and others] -- 2. Tassonomy and review of big data solutions navigation / Pierfrancesco Bellini [and others] -- 3. Big data: challenges and opportunities / Roberto V. Zicari -- 4. Management of big semantic data / Javier D. Fernández [and others] -- 5. Linked data in enterprise integration / Sören Auer [and others] -- 6. Scalable end-user access to big data / Martin Giese [and others] -- 7. Semantic data interoperability: the key problem of big data / Hele-Mai Haav and Peep Küngas -- 8. Big data exploration / Stratos Idreos -- 9. Big Data Processing with MapReduce / Jordà Polo -- 10. Efficient processing of stream data over persistent data / M. Asif Naeem, Gillian Dobbie, and Gerald Weber -- 11. Economics of big data: a value perspective on state of the art and future trends / Tassilo Pellegrin -- 12. Advanced data analytics for business / Rajendra Akerkar -- 13. Big social data analysis / Erik Cambria [and others] -- 14. Real-time big data processing for domain experts: an application to smart buildings / Dario Bonino, Fulvio Corno, and Luigi De Russis -- 15. Big data application: analyzing real-time electric meter data / Mikhail Simonov [and others] -- 16. Scaling of geographic space from the perspective of city and field blocks and using volunteered geographic information / Bin Jiang and Xintao Liu -- 17. Big textual data analytics and knowledge management / Marcus Spies and Monika Jungemann-Dorner -- Index.
Summary: To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications. In addition, the book balances between academic and industry contributions.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 006.312 Ak314 (Browse shelf(Opens below)) Available 136796
Total holds: 0

Special Indian edition.

Includes bibliographical references and index.

1. Toward evolving knowledge ecosystems for big data understanding / Vadim Ermolayev [and others] --
2. Tassonomy and review of big data solutions navigation / Pierfrancesco Bellini [and others] --
3. Big data: challenges and opportunities / Roberto V. Zicari --
4. Management of big semantic data / Javier D. Fernández [and others] --
5. Linked data in enterprise integration / Sören Auer [and others] --
6. Scalable end-user access to big data / Martin Giese [and others] --
7. Semantic data interoperability: the key problem of big data / Hele-Mai Haav and Peep Küngas --
8. Big data exploration / Stratos Idreos --
9. Big Data Processing with MapReduce / Jordà Polo --
10. Efficient processing of stream data over persistent data / M. Asif Naeem, Gillian Dobbie, and Gerald Weber --
11. Economics of big data: a value perspective on state of the art and future trends / Tassilo Pellegrin --
12. Advanced data analytics for business / Rajendra Akerkar --
13. Big social data analysis / Erik Cambria [and others] --
14. Real-time big data processing for domain experts: an application to smart buildings / Dario Bonino, Fulvio Corno, and Luigi De Russis --
15. Big data application: analyzing real-time electric meter data / Mikhail Simonov [and others] --
16. Scaling of geographic space from the perspective of city and field blocks and using volunteered geographic information / Bin Jiang and Xintao Liu --
17. Big textual data analytics and knowledge management / Marcus Spies and Monika Jungemann-Dorner --
Index.

To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications. In addition, the book balances between academic and industry contributions.

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