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
Також купити книгу The Practitioner's Guide to Graph Data: Applying Graph
Thinking and Graph Technologies to Solve Complex Problems, Denise Gosnell
Ph.D., Matthias Broecheler Ph.D. Ви можете по посиланню