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Refcard Expansion Pack: Querying Graphs with Neo4j

· Java Zone

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This week, DZone released its latest Refcard:

Querying Graphs with Neo4j

By Michael Hunger

  • Getting started with Neo4j
  • Neo4j in the Cloud
  • Neo4j query language
  • Performance tips

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If you're interested in learning more about Neo4j or sharpening your skills, we decided to dig into the DZone archives and find some of the most popular posts we've had on the topic:

1. 10 Caveats Neo4j Users Should Be Familiar With 

  • Recently I used the Neo4j graph database in GitMoon. I have gathered some of the tricky things I learned the hard way and I recommend any Neo4j user to take a look.

2. Domain modeling with Spring Data Neo4j [code]

  • Last time I told you that I’m building the Skybase CMDB using Neo4j and Spring Data Neo4j, and I was excited to get a lot of positive feedback about that. I showed a little code but not that much. In this post I’ll show you how I’m building out the person configuration item (CI) in Skybase using Spring Data Neo4j.

3. Using Spring Data Neo4j to Build Recommendation Systems

  • Today the author would like to introduce you to Spring Data Neo4j. To this end he implemented a little showcase application. The context of the showcase is a shop system in which it would be useful to calculate what other users also viewed – as known from many popular shopping e-commerce websites.

4. Get the Full Neo4j Power by using Core Java API instead of Cypher

  • I was wondering what is the most efficient way of querying against a neo4j data base. So I did a Benchmark with quite surprising results.

5. MySQL vs. Neo4j on a Large-Scale Graph Traversal 

  • This post presents an analysis of MySQL (a relational database) and Neo4j (a graph database) in a side-by-side comparison on a simple graph traversal.

And don't forget to download the Neo4j Refcard itself!

The Java Zone is brought to you in partnership with ZeroTurnaround. Check out this 8-step guide to see how you can increase your productivity by skipping slow application redeploys and by implementing application profiling, as you code!

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