Government GraphTalk Canberra Interactive Whiteboard Session

Neo4j Inc. All rights reserved 2024
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Government GraphTalk
Canberra: Interactive
Whiteboard Session

Ben Lumley
Neo4j Senior Field Engineer
20+ years working with Australian Government
● Databases and Analytics
● Fraud Detection
● Compliance, Risk and Integrity
● Data matching and Entity Resolution
Presenter Bio
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Fundamentals of
Neo4j Graph
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Data Modeling for
Graph
Importing Data
into Neo4j
Gaining insight
with GQL
Session Overview

Unlocking the value of relationships
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Property Graph Model
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:Employee
:Analyst :City
:Company
Nodes represent
entities (typically
nouns)
Relationships are directional
(but can be queried in either direction)
Relationships connect nodes
(typically verbs)
Relationships can have any
number of properties
(name/value pairs)
Nodes can have any
number of properties
(name/value pairs)
name: Amy Peters
date_of_birth: 1984-03-01
employee_ID: 1
:WORKS_AT
start_date: 2008-01-20
:LOCATED_IN
Nodes can have zero or
more labels (roles)

GQL -ISO Certiﬁed Query language for Graph
Databases
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● GQL is the first ISO standard for
database languages after since SQL in
1987.
● Neo4j has driven & contributed 92% of
GQL standard
● GQL ratified by the ISO as a global
standard in April 2024.

Property Graph Model
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Neo4j, Inc. All rights reserved 2021
Neo4j Graph Data
Science Library
Neo4j
Database
Neo4j
Bloom
Scalable Graph Algorithms &
Analytics Workspace
Native Graph Creation &
Persistence
Visual Graph
Exploration & Prototyping
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Neo4j Enterprise Graph Platform Overview

Neo4j Enterprise Platform Architecture

At write time
Data is connected
as it is stored
At read time
Lightning-fast retrieval of data and
relationships via pointer chasing
Native Graph: From the Bottom Up
Modeling
Query
Security
Processing
Storage
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Graph enables scale: 1000x performance
Connectedness and Size of Data Set
Response
Time
Relational and Other
NoSQL Databases
0 to 2 hops
0 to 3 degrees of separation
Thousands of connections
Tens to hundreds of hops
Thousands of degrees
Billions of connections
1000x Advantage
at scale
“Minutes to milliseconds”
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Modelling and Importing
Data in Neo4j
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Graph data model = whiteboard-friendly
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The Arrows Tool for Modeling Graph Data
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The POLE Model
The POLE data model focuses on four basic types of entities and the
relationships between them:
● Persons
● Objects
● Locations
● Events
Graphs are a perfect fit for use cases like these, where it is important to
be able to work with highly connected data in real time.
Using a real-time graph helps investigators to be proactive and prevent
crime or other incidents, rather than simply being reactive after an
incident has occurred.
Typical POLE use cases
include:
● Policing
● Counter Terrorism
● Border Control /
Immigration
● Child Protection / Social
Services
● Missing Persons
● Offender Rehabilitation
● Insurance Fraud
Investigations
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The POLE Model
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Crime Investigation -Demo
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Manchester, U.K street crime data using the POLE - Person, Object, Location, Event -
model
Nodes 61521 Relationships 105840

Graph Academy
What is Graph Academy?
Free, Self-Paced, Hands-on Online Training to help you learn how to build, optimize
and launch your Neo4j project, all from the Neo4j experts.
What’s more?
2 free certifications designed to test you on your overall knowledge of Neo4j:
● Neo4j Graph Data Science Certification
● Neo4j Certified Professional
Interested? For more information visit:
www.graphacademy.neo4j.com

https://www.deeplearning.ai/short-courses/knowledge-graphs-rag/

Thank You
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Government GraphTalk Canberra Interactive Whiteboard Session

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Government GraphTalk Canberra Interactive Whiteboard Session