introduction to Neo4j

1. Neo4j
Tabriz Software Open Talks
#opentalks
@silverman2OOO9
2015-10-29 / 1394-08-07
Farzin Bagheri

2. Table of Contents
Database
Relational Databases
NOSQL
● NOSQL Categories
Neo4j
● Cypher
● Example
● Usage

3. Database

4. Relational Database
● Relational Database : SQL Server , MySQL , Oracle,...
● Concepts : Table , Row, Column,…
But,is it enough?

5. No !

6. Why?
● Cost
● Need Powerful hardware
● Need Expert
● Sometimes we need only some feature

7. NoSQL Databases

8. What is NoSQL ?

9. NoSQL
Not Only SQL

10. 4 Type of NoSQL Databases :
● Key-Value :
○ Data mode : Key and value! for example : Set A 20
○ Example : Redis , Riak , Dynamodb (Amazon) ,...
○ Use Case : Task Queue (Celery) , Cashing ,...
● Document :
○ Data model : collection of Key - value : { FName : “Farzin” , LName : ”Bagheri” , City : “Khoy” }
○ Example : MongoDB , couchDB
○ Use Case : Inserting a Log Record (Nginx or Apache)
● Column Family or BigTable :
○ Data model : big table! each rows has their own Schema.
○ Example : Hbase , Cassandra
○ Use Case : like Relational Databases but more flexible
● Graph Databases
○ Data mode : Node (Vertices) , Relationship (Edge) and Properties
○ Example : Neo4j , OrientDB , ArangoDB ,...
○ Use Case : Social network , Recommendation , Graph-Based Search,...

11. 4 Type of NoSQL Databases :
● Key-Value :
○ Data mode : Key and value! for example : Set A 20
○ Example : Redis , Riak , Dynamodb (Amazon) ,...
○ Use Case : Task Queue (Celery) , Cashing ,...
● Document :
○ Data model : collection of Key - value : { FName : “Farzin” , LName : ”Bagheri” , City : “Khoy” }
○ Example : MongoDB , couchDB
○ Use Case : Inserting a Log Record (Nginx or Apache)
● Column Family or BigTable :
○ Data model : big table! each rows has their own Schema.
○ Example : Hbase , Cassandra
○ Use Case : like Relational Databases but more flexible
● Graph Databases
○ Data mode : Node (Vertices) , Relationship (Edge) and Properties
○ Example : Neo4j , OrientDB , ArangoDB ,...
○ Use Case : Social network , Recommendation , Graph-Based Search,...

12. 4 Type of NoSQL Databases :
● Key-Value :
○ Data mode : Key and value! for example : Set A 20
○ Example : Redis , Riak , Dynamodb (Amazon) ,...
○ Use Case : Task Queue (Celery) , Cashing ,...
● Document :
○ Data model : collection of Key - value : { FName : “Farzin” , LName : ”Bagheri” , City : “Khoy” }
○ Example : MongoDB , couchDB
○ Use Case : Inserting a Log Record (Nginx or Apache)
● Column Family or BigTable :
○ Data model : big table! each rows has their own Schema.
○ Example : Hbase , Cassandra
○ Use Case : like Relational Databases but more flexible
● Graph Databases
○ Data mode : Node (Vertices) , Relationship (Edge) and Properties
○ Example : Neo4j , OrientDB , ArangoDB ,...
○ Use Case : Social network , Recommendation , Graph-Based Search,...

13. 4 Type of NoSQL Databases :
● Key-Value :
○ Data mode : Key and value! for example : Set A 20
○ Example : Redis , Riak , Dynamodb (Amazon) ,...
○ Use Case : Task Queue (Celery) , Cashing ,...
● Document :
○ Data model : collection of Key - value : { FName : “Farzin” , LName : ”Bagheri” , City : “Khoy” }
○ Example : MongoDB , couchDB
○ Use Case : Inserting a Log Record (Nginx or Apache)
● Column Family or BigTable :
○ Data model : big table! each rows has their own Schema.
○ Example : Hbase , Cassandra
○ Use Case : like Relational Databases but more flexible
● Graph Databases
○ Data mode : Node (Vertices) , Relationship (Edge) and Properties
○ Example : Neo4j , OrientDB , ArangoDB ,...
○ Use Case : Social network , Recommendation , Graph-Based Search,...

15. Graph are everywhere

16. Graph
● Nodes
● Relationships
● Properties
http://neo4j.com/developer/graph-database/

17. How to talk to Neo4j?

18. Cypher

19. Cypher

20. Creating Node
Getting
CREATE ( : Person { Fname : "Farzin" , Lname : "Bagheri" } )

21. Creating other Nodes
CREATE ( :Person { Fname : "Arash" , Lname : "Milani" } ) ,
( :Person { Fname : "Masoud" , Lname : "Sadri" } )
Getting All

22. Going to be Social ! :)

23. Creating Relationship :

24. Small Social Network :

25. Finding Friend and Friend of Friend :
● Friend of Someone :

26. Finding Friend and Friend of Friend :
● Friend of Friend of Someone :
● Other way :

27. Finding All :

28. Cloud

30. (app) -[:depend_on]-> (os) - [:depend_on] -> (VM) -[:depend_on] >(Server)-[::depend_on] -> (Power)

31. Dependency Chain :

32. Which Server Host App1?

33. App1 Dependency :

34. Most Dependent :

35. Recommendation

36. MATCH ( p:person { name:"B" } ) -[ :Has ]-> ( o1:Order )-[ :include ]->( b:Book )
<-[ :include ] - ( o2:Order )
-[:include]-> ( otherBook )
where not o1-[:include]->(otherBook)
return distinct ( otherBook.name)

37. Performance

38. Usage
● Social network
● Network Analysis
● Recommendation systems
● Fraud Detection
● Path Finding (Shortest path , simple path ,...)
● Digital Marketing

39. Database Popularity Change

40. Neo4j in Iran & World

41. Thank you

42. References
● www.db-engines.com
● www.neo4j.com
● www.linkedin.com
● Graph Database , Ian Robinson , Jim Webber & Emil Eifrem