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Autor(en): 
  • Joe Celko
  • Joe Celko's Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Nonrelational Databases 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Oktober 2013  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Databases / Data Warehousing
    ISBN:  9780124071926 
    EAN-Code: 
    9780124071926 
    Verlag:  Elsevier Inc 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 233 mm / B 189 mm / D 15 mm 
    Gewicht:  513 gr 
    Seiten:  246 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Joe Celko's Complete Guide to NoSQL provides a complete overview of non-relational technologies so that you can become more nimble to meet the needs of your organization. As data continues to explode and grow more complex, SQL is becoming less useful for querying data and extracting meaning. In this new world of bigger and faster data, you will need to leverage non-relational technologies to get the most out of the information you have. Learn where, when, and why the benefits of NoSQL outweigh those of SQL with Joe Celko's Complete Guide to NoSQL.

    This book covers three areas that make today's new data different from the data of the past: velocity, volume and variety. When information is changing faster than you can collect and query it, it simply cannot be treated the same as static data. Celko will help you understand velocity, to equip you with the tools to drink from a fire hose. Old storage and access models do not work for big data. Celko will help you understand volume, as well as different ways to store and access data such as petabytes and exabytes. Not all data can fit into a relational model, including genetic data, semantic data, and data generated by social networks. Celko will help you understand variety, as well as the alternative storage, query, and management frameworks needed by certain kinds of data.

      



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