Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data
by Victor Lee Ph.D (Author), Phuc Nguyen (Author), Alexander Thomas (Author)
Publisher finelybook 出版社: O’Reilly Media; (August 29, 2023)
Language 语言: English
Print Length 页数: 314 pages
ISBN-10: 1098106652
ISBN-13: 9781098106652
Book Description
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, Phuc Kien Nguyen, and Alexander Thomas 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.
Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning
Learn how graph analytics and machine learning can deliver key business insights and outcomes
Use five core categories of graph algorithms to drive advanced analytics and machine learning
Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen
Discover insights from connected data through machine learning and advanced analytics
