Delegate, Automate, Dominate: Putting Graph Tech to Work for You to Unlock Hidden Insights and Opportunities

1. Jennifer Reif
Email: jennifer.reif@neo4j.com
Twitter: @JMHReif
LinkedIn: linkedin.com/in/jmhreif
Github: github.com/JMHReif
Website: jmhreif.com
Delegate, Automate, Dominate
Putting Graph Tech to Work for You to Unlock Hidden Insights
and Opportunities
Mark Heckler
Email: markheckler@microsoft.com
Twitter: @mkheck
LinkedIn: linkedin.com/in/markheckler
Github: github.com/mkheck
Website: thehecklers.com

2. Who Am I?
• Developer + Advocate
• Continuous learner
• Technical content writer
• Conference speaker
• Other: geek

3. Who Am I?
• Author
• Architect & Developer
• Developer Advocate, Java/JVM Languages
• Java Champion, Rockstar
• Kotlin Developer Expert
• Pilot
bit.ly/springbootbook

4. What makes a good graph?

5. Connected data!
• Mixed entity types with queries spanning multiple
• Analyzing connections between entities
• Changing data models and needs
• Impacts/Dependencies layers deep

6. Data set?

7. Kaggle Netflix
• Relationship context is important
• Multiple types of entities connected
• Kaggle Net
fl
ix set + Wikipedia country names

8. Data model

9. Import - tips and tricks

10. Load Productions
LOAD CSV WITH HEADERS FROM "https://raw.githubusercontent.com/JMHReif/graph-demo-datasets/main/kaggle-net
fl
ix/titles.csv" as row
CALL apoc.merge.node(["Production",apoc.text.capitalize(toLower(row.type))], {productionId: row.id}, {title: row.title, …}, {}) YIELD node as p
WITH row, p
CALL {
…
MERGE (g:Genre {name: apoc.text.capitalize(genre)})
MERGE (p)-[r:CATEGORIZED_BY]->(g)
}
WITH row, p
CALL {
…
MERGE (c:Country {iso2Code: country})
MERGE (p)-[r2:PRODUCED_IN]->(c)
}
RETURN count(row);
https://github.com/JMHReif/graph-demo-datasets/blob/main/kaggle-net
fl
ix/load-data.cypher

11. Load Production People
:auto LOAD CSV WITH HEADERS FROM "https://raw.githubusercontent.com/JMHReif/graph-demo-datasets/main/kaggle-net
fl
ix/credits.csv" as row
WITH row
CALL {
WITH row
MERGE (p:Person {personId: row.person_id})
SET p.name = row.name
WITH row, p
CALL apoc.create.addLabels(p,[apoc.text.capitalize(toLower(row.role))]) YIELD node as person
RETURN person
} IN TRANSACTIONS OF 20000 ROWS
RETURN count(row);
https://github.com/JMHReif/graph-demo-datasets/blob/main/kaggle-net
fl
ix/load-data.cypher

12. Top to Bottom
• 2 CSV
fi
les
• Add country name with Wikipedia
• Use Cypher + APOC magic
• Start in small pieces
• :auto IN TRANSACTIONS to batch
• Multiple statements to conserve memory
• Can be scripted
• Also can schedule (using APOC)

13. Let’s build an API!
Demo time!

14. Automate
• Platforming
• Con
fi
guration
• Deployment
• Idempotent
• Monitoring
• Management

15. Actionable insights
Multiple levels, multiple perspectives
• Data
• System of systems
• Platform

16. Resources
• Source code: github.com/HecklerReifCollab/person-service
• Data set: github.com/JMHReif/graph-demo-datasets/tree/main/kaggle-net
fl
ix
• Neo4j AuraDB: dev.neo4j.com/aura
• Azure Spring Apps: aka.ms/azurespringapps
Jennifer Reif
Email: jennifer.reif@neo4j.com
Twitter: @JMHReif
LinkedIn: linkedin.com/in/jmhreif
Github: GitHub.com/JMHReif
Website: jmhreif.com
Mark Heckler
Email: markheckler@microsoft.com
Twitter: @mkheck
LinkedIn: linkedin.com/in/markheckler
Github: github.com/mkheck
Website: thehecklers.com