Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, youll arrive at a unique intersection known as graph thinking.Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. Youll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application.Build an example application architecture with relational and graph technologiesUse graph technology to build a Customer 360 application, the most popular graph data pattern todayDive into hierarchical data and troubleshoot a new paradigm that comes from working with graph dataFind paths in graph data and learn why your trust in different paths motivates and informs your preferencesUse collaborative filtering to design a Netflix-inspired recommendation system
