May 9, 2022, 1 a.m. | Tobias Macey

Data Engineering Podcast www.dataengineeringpodcast.com

Summary


Many of the events, ideas, and objects that we try to represent through data have a high degree of connectivity in the real world. These connections are best represented and analyzed as graphs to provide efficient and accurate analysis of their relationships. TigerGraph is a leading database that offers a highly scalable and performant native graph engine for powering graph analytics and machine learning. In this episode Jon Herke shares how TigerGraph customers are taking advantage of those capabilities …

analysis connected data data database graph graph database modeling relationships scaling tigergraph

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