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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Victor Lee | - |
| dc.date.accessioned | 2024-11-19T02:35:46Z | - |
| dc.date.available | 2024-11-19T02:35:46Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/11716 | - |
| dc.description.abstract | With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected data: connect, analyze, and learn. | vi |
| dc.language.iso | en | vi |
| dc.publisher | O'Reilly Media | vi |
| dc.subject | Machine learning | TigerGraph | vi |
| dc.title | Graph-Powered Analytics and Machine Learning with TigerGraph | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Tin học | |
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