Graph-Powered Analytics and Machine Learning with TigerGraph (9th Early Release)

Graph-Powered Analytics and Machine Learning with TigerGraph (9th Early Release)



https://DevCourseWeb.com

English | 2022 | ISBN: 9781098106645 | 149 pages | True EPUB | 16.7 MB

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. Victor Lee, Xinyu Chan, and Gaurav Deshpande from TigerGraph present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization.

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