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The Definitive Guide to Graph Databases for the RDBMS Developer
For the right use case, relational databases are powerful tools.
But today’s users are asking for more than an RDBMS can handle....
Fullstack GraphQL Applications with React, Node.js, and Neo4j
Many books describe a single technology, but few show you step by step how to build an application using modern components.
Full Stack...
Building Knowledge Graphs: A Practitioner's Guide
Unlock the potential of knowledge graphs and reinvent how you develop data-backed applications and implement advanced analytics.
Building...
Building Knowledge Graphs: A Practitioner's Guide
Unlock the potential of knowledge graphs and reinvent how you develop data-backed applications and implement advanced analytics.
Building...
Graph Databases For Dummies
Graph Databases For Dummies , a Neo4j Special Edition, introduces you to the basics of graph database technology from building a rich graph...
Fullstack GraphQL Applications
Many books describe a single technology, but few show you step by step how to build an application using modern components.
Full Stack...
5 Use Cases for Graph Technology
Today’s leading enterprises are powering their intelligent applications with graph database technology.
By tapping into the ...
Maximizing the Value of Your Data with Graph Data Platforms
According to the world’s leading analyst and research firm IDC’s Global DataSphere, more than 80 zettabytes (ZB) of data will be...
Financial Fraud Detection with Graph Data Science
Financial fraud is an increasingly costly problem for every enterprise.
Graph data science turns this problem around by augmenting your...
Graph Data Science Use Cases: Fraud and Anomaly Detection
Fraud is a financial drain, a risk for businesses and consumers alike. With fraud attempts skyrocketing, how can you identify fraud in time...
