Graph-Powered Analytics and Machine Learning with TigerGraph
Author | : Victor Lee Ph.D |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 317 |
Release | : 2023-07-24 |
ISBN-10 | : 9781098106621 |
ISBN-13 | : 1098106628 |
Rating | : 4/5 (628 Downloads) |
Download or read book Graph-Powered Analytics and Machine Learning with TigerGraph written by Victor Lee Ph.D and published by "O'Reilly Media, Inc.". This book was released on 2023-07-24 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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