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Theoretical Analysis of Big Data for Smart Scenarios

  • Vijender Kumar SolankiEmail author
  • Sandhya Makkar
  • Raghvendra Kumar
  • Jyotir Moy Chatterjee
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 154)

Abstract

As of late, because of progression of web innovations and instrumentation of all aspects of our life, we have seen an immense flood in information accessible to us. This insurgency is named as Big Data. This Big Data can’t be prepared or overseen by any conventional techniques for handling. This has prompted advancement of a few elite and appropriated shared technologies and programming systems. The outline of such frameworks depends on conveyed registering ideas which are actualized as frameworks, for example, Clusters and Clouds, and Big Data structures, for example, MapReduce and Stream Computing. These frameworks assume a vital part in todays’ market overview, the scholarly community or businesses by giving the preparing of information produced from an assortment of arranged assets, e.g. huge information stores and data storehouses, costly instruments, internet based life, sensors systems, and media administrations for an extensive variety of uses. The measure of information in our reality has been detonating, and examining expansive informational collections supposed huge information will turn into a key premise of rivalry, supporting new rushes of profitability development, advancement, and buyer excess, as per inquire about by MGI and McKinsey’s Business Technology Office. Pioneers in each part should think about the ramifications of huge information, not only a couple of information arranged supervisors. The expanding volume and detail of data caught by undertakings, the ascent of mixed media, web based life, and the Internet of Things will fuel exponential development in information for a long time to come. In this present chapter, we are trying to provide insight about Big Data and its journey towards advanced levels.

Keywords

Big data Distributed computing Clusters Cloud computing Haddop and MapReduce 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Vijender Kumar Solanki
    • 1
    Email author
  • Sandhya Makkar
    • 2
  • Raghvendra Kumar
    • 3
  • Jyotir Moy Chatterjee
    • 4
  1. 1.CMR Institute of Technology (Autonomous)HyderabadIndia
  2. 2.Lal Bahadur Shastri Institute of ManagementNew DelhiIndia
  3. 3.Department of Computer Science and EngineeringLNCT CollegeJabalpurIndia
  4. 4.Asia Pacific University of Technology & InnovationKathmanduNepal

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