InfoQ Homepage Graph Database Content on InfoQ
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
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Artistic Spring Data Neo4j 3.x with Spring Boot and Van Gogh
Michael Hunger and Lorenzo Speranzoni show how easy it is to get started with Spring Data Neo4j using Spring Boot.
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NoSQL Is Dead
Eric Redmond explains the differences and commonalities amongst many kinds of databases and takes a stab at the marketing term “NoSQL.”
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Zen: Pinterest's Graph Storage Service
This talk goes over the design motivation for Zen and describe its internals including the API, type system and HBase backend.
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Graph Search: The Power of Connected Data
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
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How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
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Let Me Graph That For You: Building a Graph Database Application
Ian Robinson introduces tools and techniques for building a system around a graph engine, experiment with graph data, and using it in an application.
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New Opportunities for Connected Data
In this solutions track talk, sponsored by Neo Technology, Ian Robinson takes a look at how size, structure and connectivity have converged to transform the data landscape.
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Let Me Graph That For You
Ian Robinson discusses graphs data structures, some of the queries that can extract data from them, and tools and techniques to work with graph data.
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How Developers Can Treat Ovarian Cancer
Mridula Jayaraman shares from her experience developing a next generation sequencing solution used to customize cancer treatment based on patient's genetic makeup.
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Working with Databases and Groovy
Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.
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A Little Graph Theory for the Busy Developer
Jim Webber explains how to understand the forces and tensions within a graph structure and to apply graph theory in order to predict how the graph will evolve over time.