SlideShare a Scribd company logo
1 of 60
Download to read offline
DIGITAL TRANSFORMATION
IN A CONNECTED WORLD
Neo4j – The World’s Leading Graph Database
What is the most powerful
database in the world?
The internet
Genetic Ancestry of One Single Corn Variety
A Linkedin Profile
Why?
?
GRAPH
DATABASES
What graphs are about
What they’re good at
Your first dip!
AGENDA:
WHAT IS A GRAPH?
A way of representing data
DATA DATA
Relational
Database
Good for:
A way of representing data
• Well-understood data structures
that don’t change too frequently
• Known problems involving discrete
parts of the data, or minimal
connectivity
Graph
Database
Relational
Database
A way of representing data
Good for:
• Well-understood data structures
that don’t change too frequently
• Known problems involving discrete
parts of the data, or minimal
connectivity
Good for:
• Dynamic systems: where the data
topology is difficult to predict
• Dynamic requirements: 

the evolve with the business
• Problems where the relationships in
data contribute meaning & value
THE PROPERTY GRAPH
DATA MODEL
A Graph Is
ROAD
TRAFFIC
LIGHTS
A Graph Is
HAS
AVAILABLE
HOTEL
ROOMS
AVAILABLE
A Graph Is
KNOWS
KNOWS
KNOWS
WORKS_AT
WORKS_AT
WORKS_AT
COMPANY
STANFORD
STUDIED_AT
KNOWS
NEO
COLUMBIA
STUDIED_AT
STU
D
IED
_AT
STUDIED_AT
NAME:ANNE
SINCE:2012
RELATIONSHIPS
NODE
PROPERTY
A Graph Is
NAME:ANNE
SINCE:2012
A Graph Is
Use of Graphs has created some of the most successful companies in the world
C
34,3%B
38,4%A
3,3%
D
3,8%
1,8%
1,8%
1,8%
1,8%
1,8%
E
8,1%
F
3,9%
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
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
VIEWED
BOUGHT
VIEWED
BOUGHT
BOUGHT
BOUGHT
BOUGHT
“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
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Master Data Management
MANAGES
MANAGES
LEADS
REGION
M
ANAG
ES
MANAGES
REGION
LEADS
LEADS
COLLABORATES
Neo4j is the heart of Cisco HMP: used for governance
and single source of truth and a one-stop shop for all
of Cisco’s hierarchies.
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
O
PENED_ACCO
UNT
HAS
IS_ISSUED
GRAPH THINKING:
Fraud Detection
HAS
LIVES
LIVES
IS_ISSUED
OPENED_ACCOUNT
“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
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
GRAPH THINKING:
Graph Based Search
PUBLISH
INCLUDE
INCLUDE
CREATE
CAPTURE
IN
IN
SOURCE
USES
USES
IN
IN
USES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
SOURCE SOURCE
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
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
BROWSES
CONNECTS
BRIDGES
ROUTES
POWERS
ROUTES
POWERS
POWERS
HOSTS
QUERIES
GRAPH THINKING:
Network & IT-Operations
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
GRAPH THINKING:
Identity And Access Management
TRUSTS
TRUSTS
ID
ID
AUTHENTICATES
AUTHENTICATES
NEO4j USE CASES
Real Time Recommendations
Master Data Management
Fraud Detection
Identity & Access Management
Graph Based Search
Network & IT-Operations
O
W
NS
OWNS
CAN_READ
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
Neo4j Adoption by Selected Verticals
SOFTWARE
FINANCIAL
SERVICES
RETAIL
MEDIA &
BROADCASTING
SOCIAL
NETWORKS
TELECOM HEALTHCARE
WHY GRAPHS?
Intuitivness
Speed
Agility
Intuitivness
Speed
Agility
Intuitivness
Intuitivness
Speed
Agility
Speed
“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 RDBMS or other NoSQL
Intuitivness
Speed
Agility
A Naturally Adaptive Model
A Query Language Designed
for Connectedness
+
=Agility
Cypher
Typical Complex SQL Join The Same Query using Cypher
MATCH (boss)-[:MANAGES*0..3]->(sub),
(sub)-[:MANAGES*1..3]->(report)
WHERE boss.name = “John Doe”
RETURN sub.name AS Subordinate, 

count(report) AS Total
Project Impact
Less time writing queries
• More time understanding the answers
• Leaving time to ask the next question
Less time debugging queries:
• More time writing the next piece of code
• Improved quality of overall code base
Code that’s easier to read:
• Faster ramp-up for new project members
• Improved maintainability & troubleshooting
CYPHER
Ann DanLoves
CYPHER
Ann DanLoves
CYPHER
Ann DanLoves
(Dan)(Ann) -[:LOVES]->
CYPHER
Ann DanLoves
(:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"})
CYPHER
Ann DanLoves
(:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"})
CYPHER
Ann DanLoves
Node Relationship Node
(:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"})
CYPHER
Query: Whom does Ann love?
MATCH (:Person {name:"Ann"})–[:LOVES]->(whom)

RETURN whom
CYPHER
Users Love Cypher
openCypher
Impact on the Business
Neo4j is ultra efficient &

normally needs far less hardware 

than any alternative
How?
Increase revenue
• Do new & impossible things
• Faster time-to-market
Reduce cost
• Lower infrastructure costs
How?
• Value from data relationships
• Batch to real time
• 1000x faster
THANK YOU!
Database
storage
Big Data
Pre-computed
Queries & Algorithms
Real-time
Queries & Algorithm
Instructions
Applications

More Related Content

What's hot

Neo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4jNeo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4jNeo4j
 
GDPR: Leverage the Power of Graphs
GDPR: Leverage the Power of GraphsGDPR: Leverage the Power of Graphs
GDPR: Leverage the Power of GraphsNeo4j
 
The Connected Data Imperative: An Introduction to Neo4j
The Connected Data Imperative: An Introduction to Neo4jThe Connected Data Imperative: An Introduction to Neo4j
The Connected Data Imperative: An Introduction to Neo4jNeo4j
 
Relationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine LearningRelationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine LearningNeo4j
 
Intro to Neo4j Webinar
Intro to Neo4j WebinarIntro to Neo4j Webinar
Intro to Neo4j WebinarNeo4j
 
Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...
Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...
Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...Neo4j
 
Neo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4j
Neo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4jNeo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4j
Neo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4jNeo4j
 
Introduction to Neo4j
Introduction to Neo4jIntroduction to Neo4j
Introduction to Neo4jNeo4j
 
GraphTalks Rome - Introducing Neo4j
GraphTalks Rome - Introducing Neo4jGraphTalks Rome - Introducing Neo4j
GraphTalks Rome - Introducing Neo4jNeo4j
 
GraphTalk Barcelona - Keynote
GraphTalk Barcelona - KeynoteGraphTalk Barcelona - Keynote
GraphTalk Barcelona - KeynoteNeo4j
 
Scalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4j
Scalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4jScalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4j
Scalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4jNeo4j
 
Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un...
 Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un... Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un...
Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un...Neo4j
 
GraphTalks Rome - Selecting the right Technology
GraphTalks Rome - Selecting the right TechnologyGraphTalks Rome - Selecting the right Technology
GraphTalks Rome - Selecting the right TechnologyNeo4j
 
A field guide to the Financial Times, Rhys Evans, Financial Times
A field guide to the Financial Times, Rhys Evans, Financial TimesA field guide to the Financial Times, Rhys Evans, Financial Times
A field guide to the Financial Times, Rhys Evans, Financial TimesNeo4j
 
Webinar - Fighting Bank Fraud with Real-time Graph Database
Webinar - Fighting Bank Fraud with Real-time Graph Database Webinar - Fighting Bank Fraud with Real-time Graph Database
Webinar - Fighting Bank Fraud with Real-time Graph Database DataStax
 
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j
 
Moving Past Infrastructure Limitations
Moving Past Infrastructure LimitationsMoving Past Infrastructure Limitations
Moving Past Infrastructure LimitationsCaserta
 
Graphs & the Police: How Law Enforcement Analyze Connected Data at Scale
Graphs & the Police: How Law Enforcement Analyze Connected Data at ScaleGraphs & the Police: How Law Enforcement Analyze Connected Data at Scale
Graphs & the Police: How Law Enforcement Analyze Connected Data at ScaleNeo4j
 
Neo4j in Production: A look at Neo4j in the Real World
Neo4j in Production: A look at Neo4j in the Real WorldNeo4j in Production: A look at Neo4j in the Real World
Neo4j in Production: A look at Neo4j in the Real WorldNeo4j
 
Neo4j – The Fastest Path to Scalable Real-Time Analytics
Neo4j – The Fastest Path to Scalable Real-Time AnalyticsNeo4j – The Fastest Path to Scalable Real-Time Analytics
Neo4j – The Fastest Path to Scalable Real-Time AnalyticsNeo4j
 

What's hot (20)

Neo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4jNeo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4j
 
GDPR: Leverage the Power of Graphs
GDPR: Leverage the Power of GraphsGDPR: Leverage the Power of Graphs
GDPR: Leverage the Power of Graphs
 
The Connected Data Imperative: An Introduction to Neo4j
The Connected Data Imperative: An Introduction to Neo4jThe Connected Data Imperative: An Introduction to Neo4j
The Connected Data Imperative: An Introduction to Neo4j
 
Relationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine LearningRelationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine Learning
 
Intro to Neo4j Webinar
Intro to Neo4j WebinarIntro to Neo4j Webinar
Intro to Neo4j Webinar
 
Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...
Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...
Neo4j GraphDay - Graphs in the Real World: Tope Use Cases for Graph Databases...
 
Neo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4j
Neo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4jNeo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4j
Neo4j GraphTalk Amsterdam - Next Generation Solutions using Neo4j
 
Introduction to Neo4j
Introduction to Neo4jIntroduction to Neo4j
Introduction to Neo4j
 
GraphTalks Rome - Introducing Neo4j
GraphTalks Rome - Introducing Neo4jGraphTalks Rome - Introducing Neo4j
GraphTalks Rome - Introducing Neo4j
 
GraphTalk Barcelona - Keynote
GraphTalk Barcelona - KeynoteGraphTalk Barcelona - Keynote
GraphTalk Barcelona - Keynote
 
Scalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4j
Scalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4jScalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4j
Scalability and Graph Analytics with Neo4j - Stefan Kolmar, Neo4j
 
Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un...
 Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un... Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un...
Graphdatenbank Neo4j: Konzept, Positionierung, Status Region DACH - Bruno Un...
 
GraphTalks Rome - Selecting the right Technology
GraphTalks Rome - Selecting the right TechnologyGraphTalks Rome - Selecting the right Technology
GraphTalks Rome - Selecting the right Technology
 
A field guide to the Financial Times, Rhys Evans, Financial Times
A field guide to the Financial Times, Rhys Evans, Financial TimesA field guide to the Financial Times, Rhys Evans, Financial Times
A field guide to the Financial Times, Rhys Evans, Financial Times
 
Webinar - Fighting Bank Fraud with Real-time Graph Database
Webinar - Fighting Bank Fraud with Real-time Graph Database Webinar - Fighting Bank Fraud with Real-time Graph Database
Webinar - Fighting Bank Fraud with Real-time Graph Database
 
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
 
Moving Past Infrastructure Limitations
Moving Past Infrastructure LimitationsMoving Past Infrastructure Limitations
Moving Past Infrastructure Limitations
 
Graphs & the Police: How Law Enforcement Analyze Connected Data at Scale
Graphs & the Police: How Law Enforcement Analyze Connected Data at ScaleGraphs & the Police: How Law Enforcement Analyze Connected Data at Scale
Graphs & the Police: How Law Enforcement Analyze Connected Data at Scale
 
Neo4j in Production: A look at Neo4j in the Real World
Neo4j in Production: A look at Neo4j in the Real WorldNeo4j in Production: A look at Neo4j in the Real World
Neo4j in Production: A look at Neo4j in the Real World
 
Neo4j – The Fastest Path to Scalable Real-Time Analytics
Neo4j – The Fastest Path to Scalable Real-Time AnalyticsNeo4j – The Fastest Path to Scalable Real-Time Analytics
Neo4j – The Fastest Path to Scalable Real-Time Analytics
 

Viewers also liked

Using a Graph Database for Next-Gen MDM
Using a Graph Database for Next-Gen MDMUsing a Graph Database for Next-Gen MDM
Using a Graph Database for Next-Gen MDMNeo4j
 
Relational to Big Graph
Relational to Big GraphRelational to Big Graph
Relational to Big GraphNeo4j
 
Introduction: Relational to Graphs
Introduction: Relational to GraphsIntroduction: Relational to Graphs
Introduction: Relational to GraphsNeo4j
 
Natural Language Processing with Graphs
Natural Language Processing with GraphsNatural Language Processing with Graphs
Natural Language Processing with GraphsNeo4j
 
RDBMS to Graphs
RDBMS to GraphsRDBMS to Graphs
RDBMS to GraphsNeo4j
 
Graphs in the Real World
Graphs in the Real WorldGraphs in the Real World
Graphs in the Real WorldNeo4j
 
Importing Data into Neo4j quickly and easily - StackOverflow
Importing Data into Neo4j quickly and easily - StackOverflowImporting Data into Neo4j quickly and easily - StackOverflow
Importing Data into Neo4j quickly and easily - StackOverflowNeo4j
 
Neo4j the Anti Crime Database
Neo4j the Anti Crime DatabaseNeo4j the Anti Crime Database
Neo4j the Anti Crime DatabaseNeo4j
 
Fraud Detection with Neo4j
Fraud Detection with Neo4jFraud Detection with Neo4j
Fraud Detection with Neo4jNeo4j
 
Graph database Use Cases
Graph database Use CasesGraph database Use Cases
Graph database Use CasesMax De Marzi
 
Neo4j Import Webinar
Neo4j Import WebinarNeo4j Import Webinar
Neo4j Import WebinarNeo4j
 
Using neo4j for enterprise metadata requirements
Using neo4j for enterprise metadata requirementsUsing neo4j for enterprise metadata requirements
Using neo4j for enterprise metadata requirementsNeo4j
 
Neo4j Introduction - Game of Thrones
Neo4j Introduction  - Game of ThronesNeo4j Introduction  - Game of Thrones
Neo4j Introduction - Game of ThronesNeo4j
 
New opportunities for connected data : Neo4j the graph database
New opportunities for connected data : Neo4j the graph databaseNew opportunities for connected data : Neo4j the graph database
New opportunities for connected data : Neo4j the graph databaseCédric Fauvet
 
Introducing Neo4j
Introducing Neo4jIntroducing Neo4j
Introducing Neo4jNeo4j
 
Webinar: Large Scale Graph Processing with IBM Power Systems & Neo4j
Webinar: Large Scale Graph Processing with IBM Power Systems & Neo4jWebinar: Large Scale Graph Processing with IBM Power Systems & Neo4j
Webinar: Large Scale Graph Processing with IBM Power Systems & Neo4jNeo4j
 
Unlocking Success in the 3 Stages of Master Data Management
Unlocking Success in the 3 Stages of Master Data ManagementUnlocking Success in the 3 Stages of Master Data Management
Unlocking Success in the 3 Stages of Master Data ManagementPerficient, Inc.
 
Transparency One : La (re)découverte de la chaîne d'approvisionnement
Transparency One : La (re)découverte de la chaîne d'approvisionnementTransparency One : La (re)découverte de la chaîne d'approvisionnement
Transparency One : La (re)découverte de la chaîne d'approvisionnementNeo4j
 
Graph all the things
Graph all the thingsGraph all the things
Graph all the thingsNeo4j
 

Viewers also liked (20)

Using a Graph Database for Next-Gen MDM
Using a Graph Database for Next-Gen MDMUsing a Graph Database for Next-Gen MDM
Using a Graph Database for Next-Gen MDM
 
Relational to Big Graph
Relational to Big GraphRelational to Big Graph
Relational to Big Graph
 
Introduction: Relational to Graphs
Introduction: Relational to GraphsIntroduction: Relational to Graphs
Introduction: Relational to Graphs
 
Natural Language Processing with Graphs
Natural Language Processing with GraphsNatural Language Processing with Graphs
Natural Language Processing with Graphs
 
RDBMS to Graphs
RDBMS to GraphsRDBMS to Graphs
RDBMS to Graphs
 
Graphs in the Real World
Graphs in the Real WorldGraphs in the Real World
Graphs in the Real World
 
Importing Data into Neo4j quickly and easily - StackOverflow
Importing Data into Neo4j quickly and easily - StackOverflowImporting Data into Neo4j quickly and easily - StackOverflow
Importing Data into Neo4j quickly and easily - StackOverflow
 
Neo4j the Anti Crime Database
Neo4j the Anti Crime DatabaseNeo4j the Anti Crime Database
Neo4j the Anti Crime Database
 
Fraud Detection with Neo4j
Fraud Detection with Neo4jFraud Detection with Neo4j
Fraud Detection with Neo4j
 
Graph database Use Cases
Graph database Use CasesGraph database Use Cases
Graph database Use Cases
 
Neo4j Import Webinar
Neo4j Import WebinarNeo4j Import Webinar
Neo4j Import Webinar
 
Using Graph theory to understand Intent & Concepts - Neo4j User Group (Januar...
Using Graph theory to understand Intent & Concepts - Neo4j User Group (Januar...Using Graph theory to understand Intent & Concepts - Neo4j User Group (Januar...
Using Graph theory to understand Intent & Concepts - Neo4j User Group (Januar...
 
Using neo4j for enterprise metadata requirements
Using neo4j for enterprise metadata requirementsUsing neo4j for enterprise metadata requirements
Using neo4j for enterprise metadata requirements
 
Neo4j Introduction - Game of Thrones
Neo4j Introduction  - Game of ThronesNeo4j Introduction  - Game of Thrones
Neo4j Introduction - Game of Thrones
 
New opportunities for connected data : Neo4j the graph database
New opportunities for connected data : Neo4j the graph databaseNew opportunities for connected data : Neo4j the graph database
New opportunities for connected data : Neo4j the graph database
 
Introducing Neo4j
Introducing Neo4jIntroducing Neo4j
Introducing Neo4j
 
Webinar: Large Scale Graph Processing with IBM Power Systems & Neo4j
Webinar: Large Scale Graph Processing with IBM Power Systems & Neo4jWebinar: Large Scale Graph Processing with IBM Power Systems & Neo4j
Webinar: Large Scale Graph Processing with IBM Power Systems & Neo4j
 
Unlocking Success in the 3 Stages of Master Data Management
Unlocking Success in the 3 Stages of Master Data ManagementUnlocking Success in the 3 Stages of Master Data Management
Unlocking Success in the 3 Stages of Master Data Management
 
Transparency One : La (re)découverte de la chaîne d'approvisionnement
Transparency One : La (re)découverte de la chaîne d'approvisionnementTransparency One : La (re)découverte de la chaîne d'approvisionnement
Transparency One : La (re)découverte de la chaîne d'approvisionnement
 
Graph all the things
Graph all the thingsGraph all the things
Graph all the things
 

Similar to Digital Transformation in a Connected World

RDBMS to Graph
RDBMS to GraphRDBMS to Graph
RDBMS to GraphNeo4j
 
Webinar: RDBMS to Graphs
Webinar: RDBMS to GraphsWebinar: RDBMS to Graphs
Webinar: RDBMS to GraphsNeo4j
 
Neo4j GraphTalk Helsinki - Introduction and Graph Use Cases
Neo4j GraphTalk Helsinki - Introduction and Graph Use CasesNeo4j GraphTalk Helsinki - Introduction and Graph Use Cases
Neo4j GraphTalk Helsinki - Introduction and Graph Use CasesNeo4j
 
GraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4jGraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4jNeo4j
 
Neo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperativeNeo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperativeNeo4j
 
Neo4j GraphTalks - Introduction to GraphDatabases and Neo4j
Neo4j GraphTalks - Introduction to GraphDatabases and Neo4jNeo4j GraphTalks - Introduction to GraphDatabases and Neo4j
Neo4j GraphTalks - Introduction to GraphDatabases and Neo4jNeo4j
 
The Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York City
The Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York CityThe Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York City
The Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York CityNeo4j
 
Neo4j GraphDay Seattle- Sept19- in the enterprise
Neo4j GraphDay Seattle- Sept19-  in the enterpriseNeo4j GraphDay Seattle- Sept19-  in the enterprise
Neo4j GraphDay Seattle- Sept19- in the enterpriseNeo4j
 
Beyond Big Data: Leverage Large-Scale Connections
Beyond Big Data: Leverage Large-Scale ConnectionsBeyond Big Data: Leverage Large-Scale Connections
Beyond Big Data: Leverage Large-Scale ConnectionsNeo4j
 
GraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4j
GraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4jGraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4j
GraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4jNeo4j
 
Neo4j 4 Overview
Neo4j 4 OverviewNeo4j 4 Overview
Neo4j 4 OverviewNeo4j
 
Neo4j GraphTalk Oslo - Introduction to Graphs
Neo4j GraphTalk Oslo - Introduction to GraphsNeo4j GraphTalk Oslo - Introduction to Graphs
Neo4j GraphTalk Oslo - Introduction to GraphsNeo4j
 
A Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain OptimizationA Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain OptimizationNeo4j
 
Intro to Neo4j and Graph Databases
Intro to Neo4j and Graph DatabasesIntro to Neo4j and Graph Databases
Intro to Neo4j and Graph DatabasesNeo4j
 
Intro to Neo4j
Intro to Neo4jIntro to Neo4j
Intro to Neo4jNeo4j
 
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jAI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jIvan Zoratti
 
Geschäftliches Potential für System-Integratoren und Berater - Graphdatenban...
Geschäftliches Potential für System-Integratoren und Berater -  Graphdatenban...Geschäftliches Potential für System-Integratoren und Berater -  Graphdatenban...
Geschäftliches Potential für System-Integratoren und Berater - Graphdatenban...Neo4j
 
Power to the People: A Stack to Empower Every User to Make Data-Driven Decisions
Power to the People: A Stack to Empower Every User to Make Data-Driven DecisionsPower to the People: A Stack to Empower Every User to Make Data-Driven Decisions
Power to the People: A Stack to Empower Every User to Make Data-Driven DecisionsLooker
 
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceGet Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceNeo4j
 

Similar to Digital Transformation in a Connected World (20)

RDBMS to Graph
RDBMS to GraphRDBMS to Graph
RDBMS to Graph
 
Webinar: RDBMS to Graphs
Webinar: RDBMS to GraphsWebinar: RDBMS to Graphs
Webinar: RDBMS to Graphs
 
Neo4j in Depth
Neo4j in DepthNeo4j in Depth
Neo4j in Depth
 
Neo4j GraphTalk Helsinki - Introduction and Graph Use Cases
Neo4j GraphTalk Helsinki - Introduction and Graph Use CasesNeo4j GraphTalk Helsinki - Introduction and Graph Use Cases
Neo4j GraphTalk Helsinki - Introduction and Graph Use Cases
 
GraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4jGraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4j
 
Neo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperativeNeo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperative
 
Neo4j GraphTalks - Introduction to GraphDatabases and Neo4j
Neo4j GraphTalks - Introduction to GraphDatabases and Neo4jNeo4j GraphTalks - Introduction to GraphDatabases and Neo4j
Neo4j GraphTalks - Introduction to GraphDatabases and Neo4j
 
The Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York City
The Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York CityThe Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York City
The Connected Data Imperative: Why Graphs? at Neo4j GraphDay New York City
 
Neo4j GraphDay Seattle- Sept19- in the enterprise
Neo4j GraphDay Seattle- Sept19-  in the enterpriseNeo4j GraphDay Seattle- Sept19-  in the enterprise
Neo4j GraphDay Seattle- Sept19- in the enterprise
 
Beyond Big Data: Leverage Large-Scale Connections
Beyond Big Data: Leverage Large-Scale ConnectionsBeyond Big Data: Leverage Large-Scale Connections
Beyond Big Data: Leverage Large-Scale Connections
 
GraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4j
GraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4jGraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4j
GraphTalk Hamburg - Einführung in Graphdatenbanken und Neo4j
 
Neo4j 4 Overview
Neo4j 4 OverviewNeo4j 4 Overview
Neo4j 4 Overview
 
Neo4j GraphTalk Oslo - Introduction to Graphs
Neo4j GraphTalk Oslo - Introduction to GraphsNeo4j GraphTalk Oslo - Introduction to Graphs
Neo4j GraphTalk Oslo - Introduction to Graphs
 
A Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain OptimizationA Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain Optimization
 
Intro to Neo4j and Graph Databases
Intro to Neo4j and Graph DatabasesIntro to Neo4j and Graph Databases
Intro to Neo4j and Graph Databases
 
Intro to Neo4j
Intro to Neo4jIntro to Neo4j
Intro to Neo4j
 
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jAI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
 
Geschäftliches Potential für System-Integratoren und Berater - Graphdatenban...
Geschäftliches Potential für System-Integratoren und Berater -  Graphdatenban...Geschäftliches Potential für System-Integratoren und Berater -  Graphdatenban...
Geschäftliches Potential für System-Integratoren und Berater - Graphdatenban...
 
Power to the People: A Stack to Empower Every User to Make Data-Driven Decisions
Power to the People: A Stack to Empower Every User to Make Data-Driven DecisionsPower to the People: A Stack to Empower Every User to Make Data-Driven Decisions
Power to the People: A Stack to Empower Every User to Make Data-Driven Decisions
 
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceGet Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
 

More from Neo4j

EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityNeo4j
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...Neo4j
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosNeo4j
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Neo4j
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jNeo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Neo4j
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeNeo4j
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsNeo4j
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j
 
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...Neo4j
 
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AIDeloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AINeo4j
 
Ingka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by DesignIngka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by DesignNeo4j
 

More from Neo4j (20)

EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered Sustainability
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG time
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge Graphs
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with Graph
 
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
 
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AIDeloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
 
Ingka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by DesignIngka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by Design
 

Recently uploaded

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 

Recently uploaded (20)

Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

Digital Transformation in a Connected World

  • 1. DIGITAL TRANSFORMATION IN A CONNECTED WORLD Neo4j – The World’s Leading Graph Database
  • 2. What is the most powerful database in the world?
  • 3.
  • 4.
  • 6. Genetic Ancestry of One Single Corn Variety
  • 9.
  • 10. ?
  • 12. What graphs are about What they’re good at Your first dip! AGENDA:
  • 13. WHAT IS A GRAPH?
  • 14. A way of representing data DATA DATA
  • 15. Relational Database Good for: A way of representing data • Well-understood data structures that don’t change too frequently • Known problems involving discrete parts of the data, or minimal connectivity
  • 16. Graph Database Relational Database A way of representing data Good for: • Well-understood data structures that don’t change too frequently • Known problems involving discrete parts of the data, or minimal connectivity Good for: • Dynamic systems: where the data topology is difficult to predict • Dynamic requirements: 
 the evolve with the business • Problems where the relationships in data contribute meaning & value
  • 23.
  • 24. Use of Graphs has created some of the most successful companies in the world C 34,3%B 38,4%A 3,3% D 3,8% 1,8% 1,8% 1,8% 1,8% 1,8% E 8,1% F 3,9%
  • 25. 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 VIEWED BOUGHT VIEWED BOUGHT BOUGHT BOUGHT 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 GRAPH THINKING: Master Data Management MANAGES MANAGES LEADS REGION M ANAG ES MANAGES REGION LEADS LEADS COLLABORATES
  • 29. Neo4j is the heart of Cisco HMP: used for governance and single source of truth and a one-stop shop for all of Cisco’s hierarchies. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
  • 30. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations O PENED_ACCO UNT HAS IS_ISSUED GRAPH THINKING: Fraud Detection HAS LIVES LIVES IS_ISSUED OPENED_ACCOUNT
  • 31. “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 NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
  • 32. GRAPH THINKING: Graph Based Search PUBLISH INCLUDE INCLUDE CREATE CAPTURE IN IN SOURCE USES USES IN IN USES NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations SOURCE SOURCE
  • 33. 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
  • 34. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations BROWSES CONNECTS BRIDGES ROUTES POWERS ROUTES POWERS POWERS HOSTS QUERIES GRAPH THINKING: Network & IT-Operations
  • 35. 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
  • 36. GRAPH THINKING: Identity And Access Management TRUSTS TRUSTS ID ID AUTHENTICATES AUTHENTICATES NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations O W NS OWNS CAN_READ
  • 37. 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
  • 38. Neo4j Adoption by Selected Verticals SOFTWARE FINANCIAL SERVICES RETAIL MEDIA & BROADCASTING SOCIAL NETWORKS TELECOM HEALTHCARE
  • 44. Speed “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 RDBMS or other NoSQL
  • 46. A Naturally Adaptive Model A Query Language Designed for Connectedness + =Agility
  • 47. Cypher Typical Complex SQL Join The Same Query using Cypher MATCH (boss)-[:MANAGES*0..3]->(sub), (sub)-[:MANAGES*1..3]->(report) WHERE boss.name = “John Doe” RETURN sub.name AS Subordinate, 
 count(report) AS Total Project Impact Less time writing queries • More time understanding the answers • Leaving time to ask the next question Less time debugging queries: • More time writing the next piece of code • Improved quality of overall code base Code that’s easier to read: • Faster ramp-up for new project members • Improved maintainability & troubleshooting
  • 52. Ann DanLoves (:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"}) CYPHER
  • 53. Ann DanLoves (:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"}) CYPHER
  • 54. Ann DanLoves Node Relationship Node (:Person {name:”Ann"}) –[:LOVES]-> (:Person {name:"Dan"}) CYPHER
  • 55. Query: Whom does Ann love? MATCH (:Person {name:"Ann"})–[:LOVES]->(whom)
 RETURN whom CYPHER
  • 58. Impact on the Business Neo4j is ultra efficient &
 normally needs far less hardware 
 than any alternative How? Increase revenue • Do new & impossible things • Faster time-to-market Reduce cost • Lower infrastructure costs How? • Value from data relationships • Batch to real time • 1000x faster
  • 60. Database storage Big Data Pre-computed Queries & Algorithms Real-time Queries & Algorithm Instructions Applications