Graph databases: New opportunities for connected data
dc.contributor.author | Robinson, Ian | en_US |
dc.contributor.author | Webber, Jim | en_US |
dc.contributor.author | Eifrem, Emil | en_US |
dc.date.accessioned | 2016-06-10T08:32:23Z | |
dc.date.available | 2016-06-10T08:32:23Z | |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 1491930896 | en_US |
dc.identifier.isbn | 9781491930892 | en_US |
dc.identifier.other | HPU1160127 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/21180 | |
dc.description.abstract | 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. | en_US |
dc.format.extent | 237 p. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_US |
dc.publisher | O'Reilly Media | en_US |
dc.subject | Graph databases | en_US |
dc.subject | Connected data | en_US |
dc.subject | Code samples | en_US |
dc.subject | Diagrams | en_US |
dc.title | Graph databases: New opportunities for connected data | en_US |
dc.type | Book | en_US |
dc.size | 9,669KB | en_US |
dc.department | English resources | en_US |
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Technology [3206]