Geschäftliches Potential für System-Integratoren und Berater - Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH

Herzlich Willkommen zum Neo4j Partnertag! !!!!!!

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Agenda:

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

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Berlin Metro Map

A Linkedin Profile

The Internet (oT)

Domain Model Logistics Process

Traditional Approach: Tables

Graph Model: Nodes & Relationships

Container !Load!

USING ROUTEDepart 2014-04-15Arrive 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!

Intuitiveness

A Naturally Adaptive Model

Flexibility

“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

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 BenefitsEasy model maintenance

Easy query

Deployment BenefitsUltra high performance Minimal resource usage

Use the Right Database for the Right Job

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

LogisticsRDBMS CRM

RDBMS

Mails

Mailsyst

Docs

Filesysem

MediaLibrary

Filesysem

CMS

RDBMS

Laboratory

RDBMS

LogFiles

RDBMS

Ecommerce

RDBMS



Fraud Detection


Graph Based Search


Polymer processing Children’s toys: high responsibility!

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!

Schleich example:"joint development by domain experts & architects

law XYZ

product idea

briefing board concept 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

UserInterface:doesnothavetobeagraphtheMicroApp„BOMEdit“

Dr. Andreas Weber | semantisches Produktdatenmanagement | 23.06.2016 | Folie 17



Fraud Detection


Graph Based Search


„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 !

GRAPH THINKING: Graph Based Search

INCLUDE

INCLUDE

CREATE

IN

SOURCE

IN

IN


Master Data Management

Fraud Detection


Graph Based Search


Uses Neo4j to manage the digital assets inside of its next generation in-flight entertainment system.!



Fraud Detection


Graph Based Search


GRAPH THINKING: Identity And Access Management

TRUSTS

TRUSTS

AUTHENTICATES



Fraud Detection


Graph Based Search

Network & IT-Operations CA

N_R

EAD

UBS was the recipient of the 2014 Graphie Award for “Best Identify And Access Management App”!



Fraud Detection


Graph Based Search


Telenor!



Fraud Detection


Graph Based Search




Fraud Detection


Graph Based Search


BRIDGES

POWERSPOWERS

GRAPH THINKING: Network & IT-Operations

Uses Neo4j for network topology analysis for big telco service providers!



Fraud Detection


Graph Based Search




Fraud Detection


Graph Based Search


VIEW

ED

GRAPH THINKING: Real Time Recommendations

BOUG

HT

VIEWED

BO

UG

HT

“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!



Fraud Detection


Graph Based Search




Fraud Detection


Graph Based Search


“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 WagenknechtTechnology Architect, Accenture!



Fraud Detection


Graph Based Search


GRAPH THINKING: Fraud Detection

HAS

OPE

NED_

ACCO

UNT



Fraud Detection


Graph Based Search


“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 SadowskiCyber Security Expert!

•  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!

!

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HAS

OPE

NED

_AC

COU

NT

HAS

OPE

NED

_AC

COU

NT

HAS

OPE

NED

_AC

COU

NT

............!

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

bookon 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+ monthlydownloads

500+ graph DB eventsworldwide

Neo4j: The Graph Database Leader

“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, 2014https://www.gartner.com/doc/2852717/it-market-clock-database-management

TechRadar™: Enterprise DBMS, Q1 2014http://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

2012 à 2015

db-engines.com: Trend of DBMS categories

FinancialServices Communications Health &

Life Sciences HR &

Recruiting Media &

Publishing SocialWeb

Industry & Logistics

Entertainment Consumer Retail Information Services Business Services

Neo4j Leads the Graph Database Revolution

How to Start?

Case Studies Library

Events, Developer Pages, Intro Videos ....

Contacts

Let‘s work together...

A Closer Look at Neo4j Editions

Q & A !!!!!!

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