The Future of the Intelligent Application: Why Graph Technology Is Key

Read the first installment in our series on the future of the intelligent application, which shows the emerging requirements for these applications.

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This Week in Neo4j – Reducing visualization complexity, BloodHound 3.0, Gene Regulation Graph Database, Pokemon Day, 4.0 Webinar, GraphTour Europe developer campfire talks

Check out this week’s TWIN4J update to learn about reducing visualization complexity, BloodHound 3.0 and more going on in the graph database community.

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Relationships Mean Retention: The 5-Minute Interview with Realogy’s Neerav Vyas

In this week’s five-minute interview with Neerav Vyas (conducted at GraphTour NYC 2019), we discuss how Realogy Holdings uses graph technology.

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Performant Queries on Highly Connected, Growing Data

Querying networks in relational databases is often unintuitive. Explore how to use labels and leverage stored procedures for performance improvements.

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Pokégraph: Gotta Graph ‘Em All!

Discover that graphs are really everywhere with Joe Depeau’s blog series. For this installment, he delves into the wonderful world of Pokémon.

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Sharding the LDBC Social Network

Explore the use of Fabric to achieve horizontal scaling, i.e. sharding, of the well-known and challenging LDBC Social Network Benchmark graph.

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This Week in Neo4j – Halin Monitoring, Analyzing CodeMotion Data, Exploring GGCD Graph, Clojure Release, and More 4.0

Check out this week’s TWIN4J recap of the latest happenings within the Neo4j community and graph database sepace at large.

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#GraphCast: Migrating from Neo4j 3.5 to 4.0

Watch this quick demonstration video to learn everything you need to know to migrate from Neo4j graph database 3.5 to the newly released 4.0.

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Ontologies in Neo4j: Semantics and Knowledge Graphs

Jesús Barrasa presents the two biggest uses of ontologies in graphs using Neo4j and NeoSemantics; inferences and interoperability.

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