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Graph-Powered Analytics and
Machine Learning with TigerGraph

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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. The authors 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.

Unlocking Data Insights with
Graph Intelligence

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Learn How Graph Analytics and Machine Learning

can deliver key business insights and outcomes.

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Use Five Core Categories of Graph Algorithms

to drive advanced analytics and machine learning.

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Deliver a Real-Time 360-Degree View

of core business entities, including customer, product, service, supplier, and citizen. 

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Use Graph Thinking

to connect, analyze, and learn from data for advanced analytics and machine learning.

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Discover Insights from
Connected Data

through machine learning and advanced analytics.

Get the eBook!

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