This document discusses data processing flows and the value of relationships in graph databases. It provides examples of how a graph database was used to process over 3 million files from a large data leak in just 1.5 weeks using Amazon instances. The document also lists several uses for graph databases, including fraud detection and identity access management.

3. Biggest
leak of
information
in world
history

4. Data

5. Raw files
10110
01101
Extraction
ABC
123
Text files
Metadata
(who, when, where, etc.)
Load
Load
Uses
Uses
Data Processing Flow

6. Raw files
10110
01101
Extraction
ABC
123
Text files
Metadata
(who, when, where, etc.)
3 million files
that needed
scanning
Each file takes
10 seconds to
process
That’s about a year
of processing…
35 Amazon
instances did
the job in 1.5
weeks
surely it will
be done soon…
yessss!

7. Lucene syntax
queries with proximity
matching!
400
users

10. Person C
Account
Company
Bank
Bahamas
Person B
Person A
Address
The Value of Relationships
HAS
REGISTERED
IS_OFFICER_OF
USES
LIVES_AT
LIVES_AT

11. Person C
Account
Company
Bank
Bahamas
Person B
Person A
Address
HAS
R
EG
ISTER
ED
IS_OFFICER_OF
USES
LIVES_AT
LIVES_AT

13. Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Graph-Based
Search
Identity & Access
Management
Graph Are Everywhere

15. Import Process
3
Raw files
10110
01101
Extraction
ABC
123
Text files
Metadata
(who, when, where, etc.)
1
Acquire and
process the data
Import using the
model and enrich it
2
Decide on the
initial domain model
Entity
Inter-
mediaryOfficer
Address
SHAREHO
LDER_O
F IN
TER
M
ED
IA
RY_O
F
REGISTERED_AT
REGISTERED_AT

16. Example:
Azerbaijan’s President Ilham Aliyev

17. DEMO

18. Unlock your relationships
… with Neo4j, the world’s leading graph database
Fredrik Johansson
fredrik.johansson@neotechnology.com
David Montag
david.montag@neotechnology.com