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Graph Databases for Connected Data
Get started with O'Reilly's Graph Databases and discover how graph databases can help you manage and query highly connected data.
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Native Graph Database
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From data modeling and drivers to scalability and Cypher queries, learn more about graph database development.
Neo4j for RDBMS Developers
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A Journey to the Graph Side: How (& Why) the Former CTO of MariaDB Joined Neo4j [Interview]
If you don't know anything about MariaDB – and you're reading a database blog remember – then you're the exception. In 2018, MariaDB was the second-fastest-growing relational database (behind Postgres) and is a leading example of commercially supported open source innovation in the database sector.Read More
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series is designed to help you better utilizeRead More
Having a lot of data to mine from is a truly beautiful thing. But many businesses today struggle with data – especially as it grows and becomes more complex – that's stored in different data repositories, not to mention different formats and permissions. Typical types of disconnected data includeRead More