Neo4j PartnerDay Amsterdam 2017
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Transcript of Neo4j PartnerDay Amsterdam 2017
10:30 - 11:00 - Registration & Networking
11:00 - 11:45 - Business potential for Graph Database Partners, Rik Van Bruggen, Neo Technology
11:45 - 12:30 - Real world applications with Neo4j, Kees Vegter, Neo Technology
12:30 - 12:45 - Neo4j Partner Program Overview, Erik Nolten, Neo Technology
12:45 - 13:00 - Q&A
13:00 - 14:00 - Lunch & Networking
AGENDA:
Complexity
The Internet (oT)
Life
Domain Model Logistics Process
Traditional Approach: Fixed Schema, Tables
Graph Model: Nodes & Relationships
Container Load
USING_CARRIER
Vessel
PhysicalContainer
Container Load
ShipmentCarrier
EmissionClass A
Shipment
Carrier
Route10520km
Route823km
FuelingMax Wgt 80Type Gas B
Town:Tokyo
Town:Hong Kong
Town:Hamburg
Container LoadContainer
LoadContainer LoadParcelWeight15.5kg
Intuitiveness
A Naturally Adaptive Model vs Fixed Schema
Flexibility
“We found Neo4j to be literally thousands of times fasterthan 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” performanceQueries up to 1000x faster than other tested database types
Speed
Discrete DataMinimally
connected data
Neo4j is designed for data relationships
Other NoSQL Relational DBMS Neo4j Graph DB
Connected DataFocused on
Data Relationships
Development BenefitsEasy model maintenance
Easy query
Deployment BenefitsUltra high performanceMinimal resource usage
Use the Right Database for the Right Job
db-engines.com: Trend of DBMS categories
Innovationto be able to do things that were
previously impossible
REAL-timeto be able to do things immediately that
were previously done overnight
AGILEto be able to do things in a flexible and adaptable way, that is ready for the future
COST-efficientrequire less hardware, less software,
less bugs, less maintenance to deliver connected applications
2000 2003 2007 2009 2011 2013 2014 20152012
GraphConnect, first conference for
graph DBs
First Global 2000Customer
Introduced first and only
declarative query language for
property graph
Published O’Reilly
bookon Graph Databases
First native
graph DBin 24/7
production
Invented property
graph model
Contributed first graph DB
to open source
Extended graph data model to labeled property
graph
150-200+ customers50-60K+ monthly
downloads500-600 graph DB eventsworldwide
Neo4j: The Graph Database Leader
2016 2017 and beyond
OpenCypherIndustry partnerships
Neo4j 3.X
250+ customers65K+ monthlydownloadsPartner focus
“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 2017
May 10th-11th, LondonCONFERENCE
+TRAINING
SOFTWARE FINANCE RETAIL MANUFACTURING more
SOCIAL TELECOMMEDIA HEALTHCARE
Dutch customers include
Graph Based Success
Real-Time Recommendations
Fraud Detection
Network &IT Operations
KnowledgeManagement
Graph BasedSearch
Identity & Access Management
Common Graph Use Cases
Background• Amsterdam-basedgloballeaderinmappingandnavigationproducts
• 4000employeesand56officesin37countries• OffersGPSandmapservice,plusconsumer,automotive,licensing,telematicsproductsanddevices
SolutionandBenefits• AddedNeo4jtoexistingarchitecturetopowerreal-timeroutingalgorithm
• EmbeddedhighavailabilityNeo4jwith semanticlayerontop;coreroutingalgorithmsinJava
• Averageresponsefellfrom40to5.2seconds,with100%RAIviolationsdetected
TomTom CONSUMERANDTRAVELPRODUCTS
Real-TimeRoutingandRecommendations29
BusinessProblem• OptimizeRestrictedAccessIsland(RAI)algorithmtomakebetterrouterecommendations
• Needefficientgeospatialindextospeedrouting• Maintainhighperformanceandscaletohandlerequestvolumes
InternetofThings
BusinessProblem• Supportcomplexoperationalinfrastructurecollects,records andmanages weatherdataacrossawidenetwork
• IntegratewithSplunksystemthatmonitorsremoteinstruments
• Usegraphstoqueryinstrumentnetwork
SolutionandBenefits• Neo4janalyzesdependencygraphstoproduceexception reports
• Neo4jandSPLUNKintegratedtightly• SolutionhasenabledKNMItore-architect andrebuildtheirentireoperationalinfrastructure
Background• TheRoyalNetherlandsMeteorologicalInstitute(KNMI)
• Dutchnationalservicewith1100+ weathermeasurementlocations
• Monitorsandforecastsweather,climate,airqualityandseismicactivity
RoyalNetherlandsMeteorologicalInstituteSCIENCES
30
Adidas Shared Meta Data Service
31 Knowledge Management
Background• Global leader in sporting goods industry services
firm footware, apparel, hardware, 14.5 bln sales, 53,000 people
• Multitude of products, markets, media, assets andaudiences
Business Problem • Beset by a wide array of information silos including
data about products, markets, social media, masterdata, digital assets, brand content and more
• Provide the most compelling and relevant content toconsumers
• Offering enhanced recommendations to driverevenue
Solution and Benefits• Save time and cost through stadardized access to
content sharing-system with internal teams, partners, IT units, fast, reliable, searchable avoidingreduandancy
• Inprove customer experience and increase revenue byproviding relevant content and recommentations
Background• Mid-size German insurer founded in 1858• Project executed by Delvin, a subsidiary
of die Bayerische Versicherung and an IT insurance specialist
Business Problem• Field sales needed easy, dynamic, 24/7 access to
policies and customer data• Existing DB2 system unable to meet performance
and scaling demands
Solution and Benefits• Enabled flexible searching of policies and
associated personal data• Raised the bar on industry practices• Delivered high performance and scalability • Ported existing metadata easily
Die Bayerische Versicherung INSURANCE
Knowledge Management33
Background• Leading European Airline • 100+ mln passengers• 2+ mln tons freight per year• 700+ aircrafts
Business Problem• Need for flexible high performant Inflight Asset
Management, onboard entertainment, byod• Complex data set: CMDB, CMS, Aircraft data feed,
media library• Maintain individual configuration for each Aircraft• Complex data model, aircrafts, hardware, vitual
containers, licenses, business rules, versions, content ...
Solution and Benefits• Neo4j powers integrated platform that provides fast
access to all aspects needed to maintain complexsystem
• Fast implementation• Higly flexible data model enable constant evolution
Lufthansa Digital Asset Mangagement
34 Graph Based Search, Knowledge Managment
Background• Toy Manufacturer, founded 80+ years ago, plastic
figurines sold in 50+ countries• 100 Mio, 250 employees• Production Process in different countries like China• Polymer Processing, Children‘s toys, high
responsibility
Business Problem• Product related data stored in many different data
stores including SAP, Navision, Laboratory Systems, Document Systems, Powerpoint, Excel..
• Hard to find correct answers for authorities, , internally, parents
Solution and Benefits• Neo4j powers integrated platform that provides
visibility across whole supply chain• Domain Experts create and evolve data model• Correct answers within seconds
Schleich Product Information Management
35 Knowledge Management
Related products
People who bought Xalso bought Y
The mainproduct
Recommendations (In Real-Time)
KITCHEN AID
SERIES
Returns
Purchase History
Price-range
Home delivery
Inventory
Express goods
Complaints
reviews
TweetsEmails
Category
Promotions
Bundling
Location
KITCHEN AID
SERIES
Business Problem• Optimize walmart.com user experience• Connect complex buyer and product data to gain
super-fast insight into customer needs and product trends
• RDBMS couldn’t handle complex queries
Solution and Benefits• Replaced complex batch process real-time online
recommendations• Built simple, real-time recommendation system with
low-latency queries• Serve better and faster recommendations by
combining historical and session data
Background
• Founded in 1962 and based in Arkansas• 11,000+ stores in 27 countries with walmart.com
online store• 2M+ employees and $470 billion in annual
revenues
Walmart RETAIL
Real-Time Recommendations40
Background• One of the world’s largest logistics carriers• Projected to outgrow capacity of old system• New parcel routing system
Single source of truth for entire networkB2C and B2B parcel trackingReal-time routing: up to 7M parcels per day
Business Problem• Needed 365x24x7 availability• Peak loads of 3000+ parcels per second• Complex and diverse software stack• Need predictable performance, linear scalability• Daily changes to logistics network: route from any
point to any point
Solution and Benefits• Ideal domain fit: a logistics network is a graph • Extreme availability, performance via clustering• Greatly simplified routing queries vs. relational• Flexible data model reflect real-world data variance
much better than relational• Whiteboard-friendly model easy to understand
Accenture LOGISTICS
41 Real-Time Routing Recommendations
Background• San Jose-based communications equipment giant
ranks #91 in the Global 2000 with $44B in annual sales
• Needed real-time recommendations to encourage knowledge base use on company’s support portal
Solution and Benefits• Faster problem resolution for customers and
decreased reliance on support teams• Scrape cases, solutions, articles et al continuously
for cross-reference links• Provide real-time reading recommendations• Uses Neo4j Enterprise HA cluster
Business Problem• Reduce call-center volumes and costs via improved
online self-service quality• Leverage large amounts of knowledge stored in
service cases, solutions, articles, forums, etc.• Reduce resolution times and support costs
Cisco COMMUNICATIONS
Real-Time Recommendations
SolutionSupportCase
SupportCase
Knowledge Base Article
Message
Knowledge Base Article
Knowledge Base Article
42
Business Problem• Extremly complex individual pricing calculations• Moved from per month to per day calculation• Former system too slow, too inflexible
Solution and Benefits• Huge performance increase through replacement of
legacy system• 4 Core Laptop, 6% CPU usage provides better
performance than 3 server 96 Core config with 80% CPU usage à „mind-blowing“
• Overcame internal hurdles by using embedded, application internal cache vs new database system
Background
• Largest Hospitality company worldwide• 4.500+ hotels à 6.500 700.000 rooms à1.5 Mln• 15 Bln eCommerce Sales 2015, #7 IDC rating
internet sales
Marriott Hospitality
Real-Time Recommendations43
Identity Relationship ManagementIdentity Access Management
Applications and data
Endpoints
People
Customers(millions)
Partners and Suppliers
Workforce(thousands)
PCs Tablets
On-premises Private Cloud Public Cloud
Things(Tens of millions)
WearablesPhones
PCs
Customers(millions)
On-premises
Applications and data
Endpoints
People
Background• Oslo-based telcom provider is #1 in Nordic
countries and #10 in world• Online, mission-critical, self-serve system lets
users manage subscriptions and plans• availability and responsiveness is critical to
customer satisfaction
Business Problem• Logins took minutes to retrieve relational
access rights• Massive joins across millions of plans,
customers, admins, groups• Nightly batch production required 9 hours and
produced stale data
Solution and Benefits• Shifted authentication from Sybase to Neo4j• Moved resource graph to Neo4j• Replaced batch process with real-time login
response measured in milliseconds that delivers real-time data, vw yday’s snapshot
• Mitigated customer retention risks
Identity and Access Management
Telenor COMMUNICATIONS
SUBSCRIBED_BYCONTROLLED_BY
PART_OFUSER_ACCESS
Account
Customer
CustomerUser
Subscription
45
Background• Top investment bank with $1+ trillion in assets• Using a relational database and Gemfire to manage
employee permissions to research document and application-service resources
• Permissions for new investment managers and traders provisioned manually
Business Problem• Lost an average of 5 days per new hire while they
waited to be granted access to hundreds of resources, each with its own permissions
• Replace an unsuccessful onboarding process implemented by a competitor
• Regulations left no room for error
Solution and Benefits• Store models, groups and entitlements in Neo4j• Exceeded performance requirements• Major productivity advantage due to domain fit• Graph visualization ease permissioning process• Fewer compromises than with relational• Expanded Neo4j solution to online brokerage
UBS FINANCIAL SERVICES
Identity and Access Management46
INVESTIGATE
Revolving Debt
Number of Accounts
INVESTIGATE
Normal behavior
Fraud Detection with Discrete Analysis
Revolving Debt
Number of Accounts
Normal behavior
Fraud Detection With Connected Analysis
Fraudulent pattern
Background• Global financial services firm with trillions of
dollars in assets• Varying compliance and governance
considerations• Incredibly complex transaction systems, with ever-
growing opportunities for fraud
Business Problem • Needed to spot and prevent fraud detection in real
time, especially in payments that fall within “normal” behavior metrics
• Needed more accurate and faster credit risk analysis for payment transactions
• Needed to dramatically reduce chargebacks
Solution and Benefits• Lowered TCO by simplifying credit risk analysis and
fraud detection processes• Identify entities and connections uniquely• Saved billions by reducing chargebacks and fraud• Enabled building real-time apps with non-uniform
data and no sparse tables or schema changes
London and New York Financial FINANCIAL SERVICES
Fraud Detection
s
49
Background• Panama based lawyers Mossack & Fonseca do
business in hosting “letterbox companies”• Suspected to support tax saving and organized
crime• Altogether: 2.6 TB, 11 milo files, 214.000 letter box
companies
Business Problem • 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
Solution and Benefits• 400 journalists, investigate/update/share, 2 people
with IT background• Identify connections quickly and easily• Fast Results wouldn‘t be possible without GraphDB
Panama Papers Fraud Detection
Fraud Detection50
10:30 - 11:00 - Registration & Networking
11:00 - 11:45 - Business potential for Graph Database Partners, Rik Van Bruggen, Neo Technology
11:45 - 12:30 - Real world applications with Neo4j, Kees Vegter, Neo Technology
12:30 - 12:45 - Neo4j Partner Program Overview, Erik Nolten, Neo Technology
12:45 - 13:00 - Q&A
13:00 - 14:00 - Lunch & Networking
AGENDA:
Sign up today @ Neo4j.com
Partner program options:Neo4jMember Neo4jSolutionPartner
SalesandMarketingBenefits
Revenuesharingonsoldsubscriptions �
Neo4jPartnerLogoUsage �
Referalfeeonsoldnewsupcription � �
ListingonPartnerPage �
PartnerPortalAccess
Salesmaterialandtools � �
TechnicalSupportandEducation
AccesstoNeo4jSupport �
Accesstotrainingandcertificationprogram � �
Trainingdiscount � �
PrioritySupport �
QualificationandPartnerGuidelines
CompleteandsubmitNeoPartnerAgreement �
TwoAnnualnewcustomeracquisitiontarget �
2ormoreCertifiedNeoConsultants �
OrganizeNeo4jevents �
AnnualPartnerProgramFee Free €1,500
Members vs. Solution Partners
• Member: new to Neo4j, focused on services only
• Solution Partner: • Invest in technical skills (certification), marketing, sales, etc• Multiple (repeatable) Neo4j projects• Drive revenue with Neo4j* requires partner agreement*
57
58
Neo4j Training
59
Online & classroom training available
Certification Exam
www.graphacademy.comOr
https://neo4j.com/graphacademy/
Neo4j Partner Portal
60
Lots of resources to help you
kickstartyour engagements
with Neo4j
https://partner.neo4j.com/
Lots of technical & other resources!
List of Partners: Europe (35)
Case Studies Library
Events, Developer Pages, Intro Videos ....
Contacts
Rik Van BruggenRegional [email protected]
Kees VegterPre-sales [email protected]
Jonny CheethamSales [email protected]
Erik NoltenPartner [email protected]
Let‘s work together...
Partner
Product
ProjectSUCCESS!
Customer
A Closer Look at Neo4j Editions
Different Features
Different Support
Different Legal T&C’s
10:30 - 11:00 - Registration & Networking
11:00 - 11:45 - Business potential for Graph Database Partners, Rik Van Bruggen, Neo Technology
11:45 - 12:30 - Real world applications with Neo4j, Kees Vegter, Neo Technology
12:30 - 12:45 - Neo4j Partner Program Overview, Erik Nolten, Neo Technology
12:45 - 13:00 - Q&A
13:00 - 14:00 - Lunch & Networking
AGENDA:
