Graph databases new opportunities for connected data
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 q...
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| Hauptverfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly
2015
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| Ausgabe: | Second edition. |
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| Online-Zugang: | lizenzpflichtig |
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| spelling | Robinson, Ian 1969- VerfasserIn aut Graph databases new opportunities for connected data Ian Robinson, Jim Webber & Emil Eifrem New opportunities for connected data Second edition. Sebastopol, CA O'Reilly 2015 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Description based on online resource; title from cover (Safari, viewed June 30, 2015) 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 model Learn best practices and common pitfalls when modeling with graphs Plan and implement a graph database solution in test-driven fashion Explore real-world examples to learn how and why organizations use a graph database Understand common patterns and components of graph database architecture Use analytical techniques and algorithms to mine graph database information. Database management Graph theory Data processing Database design Databases Bases de données ; Gestion Bases de données ; Conception Graph theory ; Data processing Webber, James VerfasserIn aut Eifrem, Emil VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781491930885/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Robinson, Ian 1969- Webber, James Eifrem, Emil Graph databases new opportunities for connected data Database management Graph theory Data processing Database design Databases Bases de données ; Gestion Bases de données ; Conception Graph theory ; Data processing |
| title | Graph databases new opportunities for connected data |
| title_alt | New opportunities for connected data |
| title_auth | Graph databases new opportunities for connected data |
| title_exact_search | Graph databases new opportunities for connected data |
| title_full | Graph databases new opportunities for connected data Ian Robinson, Jim Webber & Emil Eifrem |
| title_fullStr | Graph databases new opportunities for connected data Ian Robinson, Jim Webber & Emil Eifrem |
| title_full_unstemmed | Graph databases new opportunities for connected data Ian Robinson, Jim Webber & Emil Eifrem |
| title_short | Graph databases |
| title_sort | graph databases new opportunities for connected data |
| title_sub | new opportunities for connected data |
| topic | Database management Graph theory Data processing Database design Databases Bases de données ; Gestion Bases de données ; Conception Graph theory ; Data processing |
| topic_facet | Database management Graph theory Data processing Database design Databases Bases de données ; Gestion Bases de données ; Conception Graph theory ; Data processing |
| url | https://learning.oreilly.com/library/view/-/9781491930885/?ar |
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