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Autor(en): 
  • Lena Wiese
  • Advanced Data Management: For SQL, NoSQL, Cloud and Distributed Databases 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Oktober 2015  
    Genre:  EDV / Informatik 
     
    Betriebssystem (EDV) / Unix / Cloud / Data models / Data storage / Database / Datenbank / Datenerfassung und -analyse / Distributed databases
    ISBN:  9783110441406 
    EAN-Code: 
    9783110441406 
    Verlag:  De Gruyter 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  de Gruyter Textbook  
    Dimensionen:  H 240 mm / B 170 mm / D 21 mm 
    Gewicht:  634 gr 
    Seiten:  374 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
      
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