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The Practitioner's Guide to Graph Data - Applying Graph Thinking and Graph Technologies to Solve Complex Problems (Paperback)
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The Practitioner's Guide to Graph Data - Applying Graph Thinking and Graph Technologies to Solve Complex Problems (Paperback)
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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, you'll
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. You'll 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
technologies Use graph technology to build a Customer 360
application, the most popular graph data pattern today Dive into
hierarchical data and troubleshoot a new paradigm that comes from
working with graph data Find paths in graph data and learn why your
trust in different paths motivates and informs your preferences Use
collaborative filtering to design a Netflix-inspired recommendation
system
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