Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1zXZZ1s. Ian Robinson introduces tools and techniques for building a system around a graph engine, experiment with graph data, and using it in an application. Filmed at qconnewyork.com. Ian Robinson works on research and development for future versions of the Neo4j graph database. Harbouring a long-held interest in connected data, he was for many years one of the foremost proponents of REST architectures, before turning his focus from the Web's global graph to the realm of graph databases.

1. Let
Me
Graph
That
For
You
@ianSrobinson
#neo4j

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Watch the video with slide
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http://www.infoq.com/presentations
/graph-db-tools

3. Presented at QCon New York
www.qconnewyork.com
Purpose of QCon
- to empower software development by facilitating the spread of
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Strategy
- practitioner-driven conference designed for YOU: influencers of
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- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide

4. Outline
• Data
complexity
• Graph
data
scenarios
• Using
a
graph
database

5. complexity = f(size, variable structure, connectedness)

6. Variable
Structure

7. Connectedness
• Existence
• SemanFcs
• Quality
?

8. Graphs
Are
Everywhere

9. • Store
• Manage
• Query
data
Graph
Databases

10. Social
Network

11. Network
Impact
Analysis

12. Route
Finding

13. RecommendaFons

14. LogisFcs

15. Access
Control

16. Fraud
Analysis

17. Neo4j

18. Labeled
Property
Graph

19. Querying
Graph
Data
• Describing
graphs
• CreaFng
nodes,
relaFonships
and
properFes
• Querying
graphs

20. How
to
Describe
a
Graph?

21. Cypher
PaSern
(ben)-[:WORKS_FOR]->(acme),
(ben)-[:HAS_SKILL]->(rest),
(ben)-[:HAS_SKILL]->(neo4j)

22. Create
Some
Data
CREATE (ben:Person { name:'Ben' }),
(acme:Company { name:'Acme' }),
(rest:Skill { name:'REST' }),
(neo4j:Skill { name:'Neo4j' }),
(ben)-[:WORKS_FOR]->(acme),
(ben)-[:HAS_SKILL]->(rest),
(ben)-[:HAS_SKILL]->(graphs)
RETURN ben

23. Create
Nodes
CREATE (ben:Person { name:'Ben' }),
(acme:Company { name:'Acme' }),
(rest:Skill { name:'REST' }),
(neo4j:Skill { name:'Neo4j' }),
(ben)-[:WORKS_FOR]->(acme),
(ben)-[:HAS_SKILL]->(rest),
(ben)-[:HAS_SKILL]->(graphs)
RETURN ben

24. Create
RelaFonships
CREATE (ben:Person { name:'Ben' }),
(acme:Company { name:'Acme' }),
(rest:Skill { name:'REST' }),
(neo4j:Skill { name:'Neo4j' }),
(ben)-[:WORKS_FOR]->(acme),
(ben)-[:HAS_SKILL]->(rest),
(ben)-[:HAS_SKILL]->(graphs)
RETURN ben

25. Return
Node
CREATE (ben:Person { name:'Ben' }),
(acme:Company { name:'Acme' }),
(rest:Skill { name:'REST' }),
(neo4j:Skill { name:'Neo4j' }),
(ben)-[:WORKS_FOR]->(acme),
(ben)-[:HAS_SKILL]->(rest),
(ben)-[:HAS_SKILL]->(graphs)
RETURN ben

27. Querying
a
Graph
Graph
Local
• Find
one
or
more
start
nodes
• Explore
surrounding
graph
• Millions
of
hops
per
second

28. Which
people,
who
work
for
the
same
company
as
me,
share
my
skills?

29. Cypher
PaSern
(company)<-[:WORKS_FOR]-(me)-[:HAS_SKILL]->(skill),
(company)<-[:WORKS_FOR]-(colleague)-[:HAS_SKILL]->(skill)

30. Cypher
Query
Which
people,
who
work
for
the
same
company
as
me,
have
similar
skills
to
me?
MATCH (company)<-[:WORKS_FOR]-(:Person{name:'ian'})
-[:HAS_SKILL]->(skill),
(company)<-[:WORKS_FOR]-(colleague)-[:HAS_SKILL]->(skill)
RETURN colleague.name AS name,
count(skill) AS score,
collect(skill.name) AS skills
ORDER BY score DESC

31. Graph
PaSern
Which
people,
who
work
for
the
same
company
as
me,
have
similar
skills
to
me?
MATCH (company)<-[:WORKS_FOR]-(:Person{name:'ian'})
-[:HAS_SKILL]->(skill),
(company)<-[:WORKS_FOR]-(colleague)-[:HAS_SKILL]->(skill)
RETURN colleague.name AS name,
count(skill) AS score,
collect(skill.name) AS skills
ORDER BY score DESC

32. Anchor
PaSern
in
Graph
Which
people,
who
work
for
the
same
company
as
me,
have
similar
skills
to
me?
MATCH (company)<-[:WORKS_FOR]-(:Person{name:'ian'})
-[:HAS_SKILL]->(skill),
(company)<-[:WORKS_FOR]-(colleague)-[:HAS_SKILL]->(skill)
RETURN colleague.name AS name,
count(skill) AS score,
collect(skill.name) AS skills
ORDER BY score DESC

33. Create
Results
Which
people,
who
work
for
the
same
company
as
me,
have
similar
skills
to
me?
MATCH (company)<-[:WORKS_FOR]-(:Person{name:'ian'})
-[:HAS_SKILL]->(skill),
(company)<-[:WORKS_FOR]-(colleague)-[:HAS_SKILL]->(skill)
RETURN colleague.name AS name,
count(skill) AS score,
collect(skill.name) AS skills
ORDER BY score DESC

35. Results
+--------------------------------------+
| name | score | skills |
+--------------------------------------+
| "Ben" | 2 | ["Neo4j","REST"] |
| "Charlie" | 1 | ["Neo4j"] |
+--------------------------------------+
2 rows

36. Case
Studies

37. Network
Impact
Analysis
• Which
parts
of
network
does
a
customer
depend
on?
• Who
will
be
affected
if
we
replace
a
network
element?

38. Asset
Management
&
Access
Control
• Which
assets
can
an
admin
control?
• Who
can
change
my
subscripFon?

39. LogisFcs
• What’s
the
quickest
delivery
route
for
this
parcel?

40. Social
Network
&
RecommendaFons
• Which
assets
can
I
access?
• Who
shares
my
interests?

41. neo4j.com/online_course

42. Ian Robinson,
Jim Webber & Emil Eifrem
Graph
Databases
h
Com
plim
ents
ofNeo
Technology
graphdatabases.com
@ianSrobinson
#neo4j
Thank
you

43. Watch the video with slide synchronization on
InfoQ.com!
http://www.infoq.com/presentations/graph-db-
tools