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How do you apply graph thinking to solve complex problems? With this practical guide, data scientists will learn how to think about data as a graph and determine if graph technology is right for your company. You'll learn techniques for building scalable, real-time, and multimodel architectures that solve complex problems with graph data.
Authors Denise Koessler Gosnell and Matthias Broecheler show you how companies today are successfully applying graph thinking in distributed production environments. You'll also learn the Graph Schema Language, a set of terminology and visual illustrations to normalize how graph practitioners communicate conceptual graph models, graph schema, and graph database design.
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