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Big data computing: a guide for business and technology managers/ Vivek Kale

By: Material type: TextTextSeries: Big Data SeriesPublication details: Boca Raton: CRC Press, 2017Description: xxxiii, 495 pages: diagrams; 26 cmISBN:
  • 9781498715331
Subject(s): DDC classification:
  • 005.7 K14
Contents:
Computing beyond the Moore's Law barrier while being more tolerant of faults and failures -- Database basics -- Analytics basics -- Data warehousing basics -- Data mining basics -- Distributed systems basics -- Service-oriented architecture basics -- Cloud computing basics -- Introducing big data computing -- Big data technologies -- Big data NoSQL databases -- Big data development with Hadoop -- Big data analysis languages, tools, and environments -- Big data DevOps management -- Web applications -- Social network applications -- Mobile applications -- Location-based systems applications -- Context-aware applications -- Internet of things
Summary: This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.
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Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Books ISI Library, Kolkata 005.7 K14 (Browse shelf(Opens below)) Available Gifted by Prof. Ashis Kumar Chakraborty C27479
Total holds: 0

Includes bibliography and index

Computing beyond the Moore's Law barrier while being more tolerant of faults and failures -- Database basics -- Analytics basics -- Data warehousing basics -- Data mining basics -- Distributed systems basics -- Service-oriented architecture basics -- Cloud computing basics -- Introducing big data computing -- Big data technologies -- Big data NoSQL databases -- Big data development with Hadoop -- Big data analysis languages, tools, and environments -- Big data DevOps management -- Web applications -- Social network applications -- Mobile applications -- Location-based systems applications -- Context-aware applications -- Internet of things

This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.

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