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Renaissance in Database Management: Navigating the Landscape of Candidate Systems.

Big data requirements are motivating new database-management models that can process billions of data requests per second, and established relational models are changing to keep pace. The authors provide practical tools for navigating this shifting product landscape and finding candidate systems tha...

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Published in:Computer (00189162) Vol. 49; no. 4; pp. 31 - 43
Main Authors: Gudivada, Venkat N., Rao, Dhana, Raghavan, Vijay V.
Format: Article
Published: IEEE Apr2016
Subjects:
Database management
Big data
SQL
Nonrelational databases
QUERY (Information retrieval system)
Management
Online Access:View this record in EBSCOhost
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        10.1109/MC.2016.115
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        atl: Renaissance in Database Management: Navigating the Landscape of Candidate Systems.
      aug:
        au:
          Gudivada, Venkat N.
          Rao, Dhana
          Raghavan, Vijay V.
        affil:
          East Carolina University
          University of Louisiana at Lafayette
      su:
        Database management
        Big data
        SQL
        Nonrelational databases
        QUERY (Information retrieval system)
        Management
      sug:
        subj:
          Database management
          Big data
          SQL
          Nonrelational databases
          QUERY (Information retrieval system)
          Management
      keyword:
        big data
        data management
        Data models
        data systems
        Database languages
        database-management systems
        DBMSs
        Distributed databases
        enterprise-management systems
        NewSQL
        NoSQL
        Real-time systems
      ab: Big data requirements are motivating new database-management models that can process billions of data requests per second, and established relational models are changing to keep pace. The authors provide practical tools for navigating this shifting product landscape and finding candidate systems that best fit a data manager's application needs.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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