Melliyal Annamalai Product Manager at Oracle melliyal.annamalai@oracle.com @AnnamalaiMelli

Gautam Pisharam Senior Solutions Engineer at Oracle gautam.pisharam@oracle.com@gpishara

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Graph Analytics: An Example of Detecting Fraud in the Financial Industry

Recap - Graph Analytics

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Copyright © 2020 Oracle and/or its affiliates.

Graph Applications

Axle

Rod

Wheel

Disc

Screw

• Financial

• Law enforcement and security

• Manufacturing

• Public sector

• Pharma

and more

Paysafe: Money Transfer Fraud Detection

Multiple paths going tothe same destination

Limited number of sourceand destination vertices

Online payment solutions

• Real-time payments, e-wallets

• 1 bn revenue/year

• 500,000 payments/day

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Graph Database and Analytics

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Store, manage, query, and analyze graphs

• Enterprise capabilities: Built on Oracle infrastructure

• Manageability, fine-grained security, high availability, integration

Highly scalable

• In-memory query and analytics and in-database query

• 10s of billions of edges and vertices

PGQL: Powerful SQL-like graph query language

Analytics Java API: 50+ pre-built graph analysis algorithms

Visualization

• Light-weight web application, UI accessible from a browser

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Opportunity vs Risk

THE BANK

Regulations

ATMs

Branches

Digital Transformation

Empowered

Mobile

SociallyConnected

CUSTOMER Loyalty

Wallet Share

Fintechs

Block Chain

Identity Verification

E-Wallets

CrowdsourcedLending

Payment Processing

Peer – Peer Lending

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Cycles

Name of graph Vertex

Edge

Label of vertex

Label of edge

Property of vertex

Property of edge

Property Graph:

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Demo

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Cycles

Statistics

Algorithms

DatabaseManagement

GraphSchema

Raw Data

Graph Viz

PGX In memory

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The Fraud Analytics Solution

id name dob

1 Riya 1995-03-20

2 Kathrine 1994-01-15

3 Lee 1996-01-29

Person

id name

1 UC Berkeley

University

person1_id person2_id

2 1

2 3

3 2

studentOfperson_id university_id

1 1

2 1

3 1

knows

Vertex tables: Edge tables:

1

2

3

45

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Approach 1 vs Approach 2

Graph Viz

Raw Data

Graph

In-memory engine

Raw Data

RelationalIn-memory engine

Relational

Database 19c

Graph Viz Database 19c

E n a b l e d a t a s c i e n t i s t s t o c r e a t e g r a p h m o d e l s , f a s t e r

D i g i t a l E c o s y s t e m fo r C o m p l e t e G r a p h C y c l e

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C o m p r e h e n s i v eP l a t fo r m t o C o n s u m e a l l

D a t a q u i c k l y

E n s u r eB u s i n e s s C h a n g e

Scalability&Performance

How is Oracle Graph

different?

Easy & Accuratedetection ofCycles

Built-InGraph Algorithms&Graph Visualizations

3

2

1

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Data Scientist

Data Professional

Developer

Business Analyst

Business Executive

Compliance

consumeModel 4

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Helpful Links

Search for "Oracle Graph Server and Client"to download from oracle.com

• Graphs at Oracle

https://www.oracle.com/goto/graph

• Oracle Property Graph

http://www.oracle.com/goto/propertygraph

• Blog: Examples, Tips and Tricks

http://bit.ly/OracleGraphBlog

• AskTOM Series: https://asktom.oracle.com/pls/apex/asktom.search?office=3084

• Social Media

• Twitter: @OracleBigData, @SpatialHannes, @JeanIhm, @ryotaymnk

• LinkedIn: Oracle Spatial and Graph Group

• YouTube: youtube.com/c/OracleSpatialandGraph

Thank You

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