This document provides an agenda for a Neo4j partner day event. The agenda includes sessions on the business potential of Neo4j for system integrators and consultants, the Neo4j partner program, and a case study on using Neo4j to analyze data from the Panama Papers leak. There are also sessions on networking breaks and lunch.

1. Herzlich Willkommen zum Neo4j Partnertag!
!
!
!
!
!
!
bruno.ungermann@neotechnology.com

2. 9.30-10.00 Registrierung und Networking
10.00-11.00 Geschäftliches Potential für System-Integratoren und Berater –
Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH
Bruno Ungermann
11.00-11.30 Neo4j Partner Program (english)
Erik Nolten
11.30-11.45 Pause
11.45-12.45 Schneller Nutzen mit Neo4j: das Beispiel Panama Papers
Stefan Kolmar
Mittagessen & Networking
Alexander Erdl

3. Berlin Metro Map

4. A Linkedin Profile

5. The Internet (oT)

6. Domain Model Logistics Process

7. Traditional Approach: Tables

8. Graph Model: Nodes & Relationships
Container !
Load!
USING ROUTE
Depart 2014-04-15
Arrive 2014-04-28
FROM
TO
USING ROUTE
Depart 2014-04-15
Arrive 2014-04-28
FUELING
USING_CARRIER
LOAD
USING CARRIER
Vessel!
Physical !
Container!
Container !
Load!
Shipment!
Carrier!
Emission!
Class A!
Shipment!
Carrier!
Route!
10520km!
Route!
823km!
!
Fueling!
Max Weight 80!
Type of Gas B!
!
Town:!
Tokyo!
Town:!
Hong Kong!
Town:!
Hamburg!
Container !
Load!Container !
Load!Container !
Load!
Parcel !
Weight
15.5kg!

9. Intuitiveness

10. A Naturally Adaptive Model
Flexibility

11. “We found Neo4j to be literally thousands of times faster
than our prior MySQL solution, with queries that require
10-100 times less code. Today, Neo4j provides eBay with
functionality that was previously impossible.”
- Volker Pacher, Senior Developer
“Minutes to milliseconds” performance
Queries up to 1000x faster than other tested database types!
Speed

12. Discrete Data
Minimally
connected data
Neo4j is designed for data relationships
Other NoSQL
Relational DBMS
Neo4j Graph DB
Connected Data
Focused on
Data Relationships
Development Benefits
Easy model maintenance
Easy query
Deployment Benefits
Ultra high performance
Minimal resource usage
Use the Right Database for the Right Job

13. NEO4j USE CASES
Real Time Recommendations
Meta Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Meta Data Management
Logistics
RDBM
S
CRM
RDB
MS
Mails
Mails
yst
Docs
Filesy
sem
Media
Library
Filesy
sem
CMS
RDB
MS
Laboratory
RDB
MS
LogFiles
RDB
MS
Ecommerce
RDB
MS

14. NEO4j USE CASES
Real Time Recommendations
Meta Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
Polymer processing
Children’s toys: high responsibility!

15. Schleich: transparency & reliable answers
Is there a critical substance ?!
?!
product!
materials!
substances!
lab tests!
measured values!
statutory thresholds!
law!
local context!
batches!
Bartagame14675!
(Charge 11A1)!
processing steps!

16. Schleich example:"
joint development by domain experts & architects
law XYZ
product idea
briefing boardconcept board
budget
project
model
project
profile
product
version
product
components
(bill of material BOM)
chemical risk
assessment
component X
tool
technical
specification and
documents
production process
approval
approval
approval

17. User Interface: does not have to be a graph
the Micro App „BOM Edit“
Dr. Andreas Weber | semantisches Produktdatenmanagement | 23.06.2016 | Folie 17

18. NEO4j USE CASES
Real Time Recommendations
Meta Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
„We have many different silos, many different data domains and in
order to make sense out of our data we need to bring those together
and make them useful for us.“ Sokratis Kartelias Senior Product
Manager !

19. GRAPH THINKING:
Graph Based Search
INCLUDE
INCLUDE
CREATE
IN
SOURCE
IN
IN
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

20. Uses Neo4j to manage the digital assets inside of its next
generation in-flight entertainment system.!
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

21. GRAPH THINKING:
Identity And Access Management
TRUSTS
TRUSTS
AUTHENTICATES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
CAN_READ

22. UBS was the recipient of the 2014
Graphie Award for “Best Identify And
Access Management App”!
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

23. Telenor!
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

24. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
BRIDGES
POWERS
POWERS
GRAPH THINKING:
Network & IT-Operations

25. Uses Neo4j for network topology analysis
for big telco service providers!
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

26. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
VIEWED
GRAPH THINKING:
Real Time Recommendations
BOUGHT
VIEWED
BOUGHT

27. “As the current market leader in graph databases,
and with enterprise features for scalability and
availability, Neo4j is the right choice to meet our
demands.”! Marcos Wada
Software Developer, Walmart!
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations

28. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
“A logistics network is a graph, and doesn’t fit the table structure of a relational database well,” says Wagenknecht. The
team chose Neo4j for its flexibility and scalability. With Neo4j’s native graph storage and processing engine,
transactions took milliseconds, not minutes, for high-speed, full graph, database traversals.!
Dominik Wagenknecht
Technology Architect, Accenture!

29. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Fraud Detection
HASOPENED_ACCOUNT

30. NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
“Graph databases offer new methods of uncovering
fraud rings and other sophisticated scams with a
high-level of accuracy, and are capable of stopping
advanced fraud scenarios in real-time.”!
Gorka Sadowski
Cyber Security Expert!

31. • Panama based lawyers Mossack & Fonseca do
business in hosting “letterbox companies”
• Suspected to support tax saving and organized crime
• Client data were leaked from M&F to ICIJ (International
Consortium of Investigative Journalists)
à The Panama Papers
• Altogether: 2.6 TB, 11 milo files, 214.000 letter box
companies
• Goal to unravel chains Bank-Person–Client–Address–
Intermediaries – M&F
• Earlier cases: spreadsheet based analysis (back-and-
forth) & pencil to extract such connections
• This case: sheer amount of data & arbitrarily chain
length condemn such approaches to fail
• 400 journalists, investigate/update/share, 2 people with
IT background!
!
!
!
H
A
SOPE
NED
_AC
COU
NT
H
A
SOPE
NED
_AC
COU
NT
H
A
SOPE
NED
_AC
COU
NT

33. ............!

34. 2000 2003 2007 2009 ! 2011! 2013! 2014! 2015!2012!
GraphConnect,
first conference for
graph DBs
First
Global 2000
Customer
Introduced
first and only
declarative query
language for
property graph
Published
O’Reilly
book
on Graph
Databases
First
native
graph DB
in 24/7
production
Invented
property
graph
model
Contributed
first graph DB
to open
source
Extended
graph data
model to
labeled
property
graph
150+ customers
50K+ monthly
downloads
500+ graph
DB events
worldwide
Neo4j: The Graph Database Leader

35. “Forrester estimates that over 25% of enterprises will be using graph
databases by 2017”
“Neo4j is the current market leader in graph databases.”
“Graph analysis is possibly the single most effective competitive
differentiator for organizations pursuing data-driven operations and
decisions after the design of data capture.”
IT Market Clock for Database Management Systems, 2014
https://www.gartner.com/doc/2852717/it-market-clock-database-management
TechRadar™: Enterprise DBMS, Q1 2014
http://www.forrester.com/TechRadar+Enterprise+DBMS+Q1+2014/fulltext/-/E-RES106801
Graph Databases – and Their Potential to Transform How We Capture Interdependencies (Enterprise Management Associates)
http://blogs.enterprisemanagement.com/dennisdrogseth/2013/11/06/graph-databasesand-potential-transform-capture-interdependencies/
Neo4j Leads the Graph Database Revolution

37. 2012 à 2015

38. db-engines.com: Trend of DBMS categories

39. Financial
Services
Communications
Health &
Life Sciences
HR &
Recruiting
Media &
Publishing
Social
Web
Industry
& Logistics
Entertainment
Consumer Retail
Information Services
Business Services
Neo4j Leads the Graph Database Revolution

40. How to Start?

41. Case Studies Library

42. Events, Developer Pages, Intro Videos ....

43. Contacts

44. Let‘s work together...

45. A Closer Look at Neo4j Editions

46. Q & A
!
!
!
!
!
!
bruno.ungermann@neotechnology.com