Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/21180
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRobinson, Ianen_US
dc.contributor.authorWebber, Jimen_US
dc.contributor.authorEifrem, Emilen_US
dc.date.accessioned2016-06-10T08:32:23Z
dc.date.available2016-06-10T08:32:23Z
dc.date.issued2015en_US
dc.identifier.isbn1491930896en_US
dc.identifier.isbn9781491930892en_US
dc.identifier.otherHPU1160127en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/21180-
dc.description.abstractThis 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.en_US
dc.format.extent237 p.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.publisherO'Reilly Mediaen_US
dc.subjectGraph databasesen_US
dc.subjectConnected dataen_US
dc.subjectCode samplesen_US
dc.subjectDiagramsen_US
dc.titleGraph databases: New opportunities for connected dataen_US
dc.typeBooken_US
dc.size9,669KBen_US
dc.departmentEnglish resourcesen_US
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
18_Graph_Databases.pdf
  Restricted Access
9.67 MBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.