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Autor(en): 
  • Ian Robinson
  • Webber Jim
  • Elfrem Emil
  • Graph Databases 2e 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2015  
    Genre:  EDV / Informatik 
     
    3D graphics & modelling / 3D graphics and modelling / big data NOSQL databases data modeling nodes edges storage system neo4j distributed graph processing / Computer programming / software engineering / computer science / COMPUTERS / Data Science / Data Analytics / COMPUTERS / Data Science / Data Modeling & Design / COMPUTERS / Data Science / Data Visualization
    ISBN:  9781491930892 
    EAN-Code: 
    9781491930892 
    Verlag:  O'Reilly 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 233 mm / B 177 mm / D 19 mm 
    Gewicht:  420 gr 
    Seiten:  238 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems. This second edition includes new code samples and diagrams, using the latest Neo4j syntax, as well as information on new functionality. Learn how different organizations are using graph databases to outperform their competitors. With this book's data modeling, query, and code examples, you'll quickly be able to implement your own solution. Model data with the Cypher query language and property graph modelLearn best practices and common pitfalls when modeling with graphsPlan and implement a graph database solution in test-driven fashionExplore real-world examples to learn how and why organizations use a graph databaseUnderstand common patterns and components of graph database architectureUse analytical techniques and algorithms to mine graph database information

      



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