Pouring Coffee into the Matrix: Building Java Applications on Neo4j

Many of us have built applications for traditional data structures (like relational database tables), but is it different for graph data stores? In this session, we will cover a brief intro to graphs and build a typical Java application for a graph database. We will interact with the graph data from the application, and explore some deployment possibilities. Join us to see how to amplify the power of connected data with applications!

Transcript

1. Jennifer Reif Email: jennifer.reif@neo4j.com Twitter: @JMHReif LinkedIn: linkedin.com/in/jmhreif Github: GitHub.com/JMHReif Website: jmhreif.com Pouring Coffee into the Matrix Building Java applications on Neo4j
2. Who Am I? • Developer • Continuous learner • Technical content writer • Conference speaker • Other: geek
3. What is graph?
4. What is a graph? • Set of discrete objects, each of which has some set of relationships with other objects Seven Bridges of Konigsberg problem. Leonhard Euler, 1735
5. Shows how data is connected
6. Have you ever? • Walked into a room and forgotten what you needed? • Left a possession somewhere, but can’t remember? • Written some code/requirement and forgotten why? Business: • Not sure where a bug/issue is coming from? • Don’t know the impacts of a device/system being down? • Unsure how your customers relate to their orders (or products purchased)?
7. Enter stage right - graphs • Trace your steps • Document path (not just data) • Answering how and why • Not just who, what, and where • Understanding connections • Understand alternates, impacts, etc • Better assumptions, decisions
8. Graph - an example Prospective Friend You Coffee Family Java Pets Reading Travel Food Music Sports Nightlife Drawing Music Gift: concert tickets Do together: cook Sell: Coffee
9. Graph - another example ? ? ? ?
10. A few graph use cases… Social network Fraud detection Network & IT operations Identity & access management Graph-based search
11. What is the structure?
12. Whiteboard friendliness
13. Graph model
14. Graph data
15. Graph components • Node (vertex) • Objects Michael Jennifer Neo4j Graphs
16. Graph components • Node (vertex) • Objects • Relationship (edge) • Connections Michael Jennifer Neo4j Graphs :LIKES :WORKS_FOR :IS_FRIENDS_WITH
17. Developing applications
18. Language drivers • Neo4j Java driver (o ffi cial) • Spring Data Neo4j • Uses Neo4j Java driver at base • Other options: • O ffi cial drivers-> Python, JavaScript, Go, .NET • Java frameworks-> Quarkus, Helidon, Micronaut, etc
19. Spring provisions • Spring Initializr • Spring Boot’s reduction of boilerplate • Annotation-based OGM for POJOs • Query derivation + DSL for custom (Cypher) • Spring Data’s easy connection to Neo4j • BOLT, HTTP, or embedded
20. Let’s see some code! Demo time!
21. Resources • Source code: github.com/JMHReif/pouring-co ff ee-into-matrix • Spring Data Neo4j documentation: dev.neo4j.com/sdn-docs • SDN reactive: github.com/JMHReif/sdnrx-marvel-basic • Neo4j AuraDB: dev.neo4j.com/aura Jennifer Reif Email: jennifer.reif@neo4j.com Twitter: @JMHReif LinkedIn: linkedin.com/in/jmhreif Github: GitHub.com/JMHReif Website: jmhreif.com