In this webinar we discuss the primary use cases for Graph Databases and explore the properties of Neo4j that make those use cases possible. We cover the high-level steps of modeling, importing, and querying your data using Cypher and give an overview of the transition from RDBMS to Graph.

1. Introducing Neo4j
Online & Around the World
July 27, 2017

2. ABOUT ME
• Developed web apps for 5 years
• Worked at Google for 8 years on
Google Apps, Cloud Platform
• Technologies: Python, Java,
BigQuery, Oracle, MySQL, OAuth
ryan@neo4j.com
@ryguyrg

5. A C I D

9. A C I D

13. ”Graph analysis is possibly the single most effective
competitive differentiator for organizations pursuing
data-driven operations and decisions“
The Impact of Connected Data

14. Connected Data is Transforming Industries
Social Graph
Know
s
Knows
Knows
Knows
People & Products
Bought
Bought
Viewed
Returned
Bought
People & Content
adidas
Plays
Lives_in
In_sport
Likes
Fan_of
Plays_for

15. Introducing Neo4j

16. Neo4j is the world’s leading
database for connections in data.
We power the next generation
applications and analytics,
in areas like machine learning,
personalized recommendations,
fraud detection, and data
governance.

17. Neo4j is the world’s leading
database for connections in data.
We power the next generation
applications and analytics,
in areas like machine learning,
personalized recommendations,
fraud detection, and data
governance.

18. Neo4j is the world’s leading
database for connections in data.
We power the next generation
applications and analytics,
in areas like machine learning,
personalized recommendations,
fraud detection, and data
governance.

19. This is why digital native companies like Medium,
Ebay, and LinkedIn, as well as companies in
transformation like Walmart, Adidas and Airbus,
have chosen to adopt Neo4j.

20. Hundreds of successful deployments ranging from both
Fortune 500 companies as well as exciting startups
Examples of enterprise adoption:

21. Adoption Highlights
Retail
7 out of top 10
retailers in the world
Finance
12 out of 25 top
financial services firms
8 out of top 10
software vendors
Software
(As per 2017)

22. About Neo4j

23. Mindset
“Graph Thinking” is all about
considering connections in
data as important as the data
itself — and how this is
reflected in your business.
Graph Platform
Neo4j is an internet-scale,
native graph database which
executes connected workloads
faster than any other database
management system.
About Neo4j
Ecosystem
3.5M downloads
500+ partners
47,000 group members
61,000 trained engineers

24. “Graph Thinking”
Mindset

25. Data Modelled as a Graph
Native Graph
Engine
Graph API
Cypher
NODE
RELATIONSHIP
Neo4j — Native Graph Platform

26. Q R
Q R
Using Other NoSQL to Join Data
Using Neo4j
Slow queries due to
index lookups &
network hops
Lightning-fast queries
due to replicated in-
memory architecture and
index-free adjacency
Relationship Queries on non-native Graph Architectures
MACHINE 1 MACHINE 2 MACHINE 3
UNIFIED, IN MEMORY MAP

27. How Data Structures
Affects your Organisation

28. Hierarchies
On Stage
Business
Processes
Behind the Scene
Data
Structure
Linear Supply Chain Information

29. On Stage
Behind the Scene
Linear Supply Chain InformationOrganizations Multi-related Knowledge
Business
Processes
Data
Structure

30. How Graphs Work to
Connect your data

31. Store / Retrieve

32. Store / Retrieve

33. Load Data
Store / Retrieve

34. Load Data
Store / Retrieve

35. Load Data
Store / Retrieve

36. Load Data
Store / Retrieve

37. Load Data
Actionable InsightsStore / Retrieve

38. RELATIONAL DB DOCUMENT STORE WIDE COLUMN STORE DOCUMENT STORE RELATIONAL DB KEY VALUE STORE
Leveraging Cross-Silo Connections

39. Case Studies

40. Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Master Data
Management
Graph-Based
Search
Identity & Access
Management
Common Graph DB Use Cases

41. Industry 3.0
Switching from our XML-storage to Neo4j allowed us to
speed up route cause analysis 20x, literally saving Airbus
millions of euros annually.
” — Mark Surname, VP Engineering, Airbus
Airbus was using an XML storage before but it was too slow
and causing problems to Airlines during the plane's
maintenance process when running impact or route cause
analysis queries on it.
Airbus re-invented
their maintenance
process with Neo4j

42. Government
An engineer working on the Orion mission found
information from the Apollo project, using Neo4j, which
prevented an issue and saved “well over two years of
work and one million dollars of taxpayer funds.”” — David Meza,Chief Knowledge Architect, NASA
Built a Knowledge Graph of lessons learned from all of NASA’s
prior missions.
David Meza, Chief Knowledge Architect, says ““There are many
different ways to look and search for information rather than
just a keyword search. And I think utilizing new types of graph
databases and other types of NoSQL databases really
showcases this – often there are better ways than a
traditional relational database management system.””
NASA

43. How to Get Started with
Neo4j

44. CREATE MODEL
+
LOAD DATA QUERY DATA

45. Property Graph Model
Ann DanLoves

46. Property Graph Model
CREATE (:Person { name:“Ann”} ) - [:LOVES]-> (:Person { name:“Dan”} )
LOVES
LABEL PROPERTY
NODE NODE
LABEL PROPERTY

47. Querying in the Browser

49. Querying with Code

50. Official Language Drivers

51. Community Language Drivers

52. Extending Neo4j

53. User-Defined Procedures & Functions

54. APOC Library

56. Neo4j Sandbox
neo4j.com/sandbox

57. Data Storage and
Business Rules Execu5on
Data Mining
and Aggrega5on
Applica'on
Graph Database Cluster
Neo4j Neo4j Neo4j
Ad Hoc
Analysis
Bulk Analy'c
Infrastructure
Hadoop, EDW …
Data
Scien'st
End User
Databases
Rela5onal
NoSQL
Hadoop
Architectural Options

58. MIGRATE
ALL DATA
MIGRATE
SUBSET
DUPLICATE
SUBSET
Non-Graph Queries Graph Queries
Graph Queries Non-Graph Queries
All Queries
Rela3onal
Database
Graph
Database
Application
Application
Application
Non Graph
Data
All Data
RDBMS to Graph Options

59. Two Editions: Community
and Enterprise

61. What’s Next?

63. Thank you!
@ryguyrg
devrel@neo4j.com