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  • Both research and practice indicate that traditional universal DBMS architecture hardly satisfies new trends in data processing, particularly in the context of cloud computing and Big Data problems. New database architectures and their basic features will be described, particularly their horizontal scalability and concurrency model, which is mostly weaker than ACID transactions in relational SQL-like database systems. We focus on so called NoSQL databases which support solving, at least partially, Big Data problems. Some features of NoSQL databases like data models and querying capabilities are presented in more detail. We will also mention an overview of some their representatives. Finally, we point out on actual problems associated with current database research at all.
  • Both research and practice indicate that traditional universal DBMS architecture hardly satisfies new trends in data processing, particularly in the context of cloud computing and Big Data problems. New database architectures and their basic features will be described, particularly their horizontal scalability and concurrency model, which is mostly weaker than ACID transactions in relational SQL-like database systems. We focus on so called NoSQL databases which support solving, at least partially, Big Data problems. Some features of NoSQL databases like data models and querying capabilities are presented in more detail. We will also mention an overview of some their representatives. Finally, we point out on actual problems associated with current database research at all. (en)
Title
  • New Database Architectures: Steps Towards Big Data Processing
  • New Database Architectures: Steps Towards Big Data Processing (en)
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  • New Database Architectures: Steps Towards Big Data Processing
  • New Database Architectures: Steps Towards Big Data Processing (en)
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  • RIV/00216208:11320/13:10138851!RIV14-GA0-11320___
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  • P(GA13-08195S)
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  • 91559
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  • RIV/00216208:11320/13:10138851
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  • data mining; Big Data; NoSQL databases (en)
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  • [5BDAE6CFEB03]
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  • Praha
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  • Neuveden
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  • Proceedings of the IADIS International Conference Intelligent Systems and Agents 2013 and European Conference on Data Mining ECDM 13
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  • Pokorný, Jaroslav
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  • IADIS Press
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  • 978-972-8939-93-9
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  • 11320
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