1. Data modeling
. . . with graphs
@PeterBell
Wednesday, November 28, 12

2. - Terminology
- Examples
- Patterns
- Key takeaways
Agenda
Wednesday, November 28, 12

3. Terminology
Wednesday, November 28, 12

4. relational database
tables
columns
records
foreign keys
Wednesday, November 28, 12

5. Wednesday, November 28, 12

6. neo4j
nodes
relationships
properties
Wednesday, November 28, 12

7. Wednesday, November 28, 12

8. Wednesday, November 28, 12

9. indexes
Wednesday, November 28, 12

10. Wednesday, November 28, 12

11. indexes
Wednesday, November 28, 12

12. traversals
Wednesday, November 28, 12

13. Wednesday, November 28, 12

14. Wednesday, November 28, 12

15. Wednesday, November 28, 12

16. Cypher
Wednesday, November 28, 12

17. OO language - domain objects
Object (graph|relational) mapping
Java domain objects Java domain objects
Hibernate Spring Data Neo4j
SQL Cypher
Tables/rows/columns/FKs Nodes/relationships/properties
Wednesday, November 28, 12

18. Examples
Wednesday, November 28, 12

19. Wednesday, November 28, 12

20. Wednesday, November 28, 12

21. Article
CATEGORIZED_UNDER WRITTEN_BY
ADDED_TO
Category Author
Comment
WRITTEN_BY
FOLLOWS
Commenter
Wednesday, November 28, 12

22. Geographic
Wednesday, November 28, 12

23. Bioinformatic
Wednesday, November 28, 12

24. Patterns
Wednesday, November 28, 12

25. start with a whiteboard
Wednesday, November 28, 12

26. Wednesday, November 28, 12

27. Handling entities
Wednesday, November 28, 12

28. ...provide a familiar and consistent Spring
based programming model while retaining
store specific features and capabilities
Wednesday, November 28, 12

29. Wednesday, November 28, 12

30. Restaurant
- name
- address
- cuisine
- comment
RECOMMENDS_THE
- rating
User
- first_name
- last_name
Wednesday, November 28, 12

31. Wednesday, November 28, 12

32. Wednesday, November 28, 12

33. Restaurant
- name
- address
- cuisine
RECOMMENDS_A - comment
- rating
User
- first_name
- last_name
Wednesday, November 28, 12

34. Restaurant SERVES
- name Cuisine
- address
- comment
RECOMMENDS_THE
- rating
User
- first_name
- last_name
Wednesday, November 28, 12

35. SERVES
Taj Mahal Indian cuisine
- “Great garlic nan and tandoori”
RECOMMENDS
- 4/5
Fred Jones
Wednesday, November 28, 12

36. read sentences from graph
Wednesday, November 28, 12

37. Wednesday, November 28, 12

38. Indexes for starting points
Wednesday, November 28, 12

39. User
- email_address
- first_name
- last_name
Wednesday, November 28, 12

40. Relationships for querying
Wednesday, November 28, 12

41. User
- email_address
- first_name
- last_name
- shipping_state
Select * where shipping_state = ‘Ca’?
Wednesday, November 28, 12

42. User State
- email_address LIVES_IN - name
- first_name
- code
- last_name
Wednesday, November 28, 12

43. Jess
LIVES_IN
California
LIVES_IN
LIVES_IN
Andreas
Andrew
Wednesday, November 28, 12

44. Use meaningful names
Wednesday, November 28, 12

45. Language Country
- language_id
- country_id
- name
- name
- word count
- flag url
- country_id
Wednesday, November 28, 12

46. Language LanguageCountry Country
- language_id - language_id - country_id
- name - country_id - name
- word count - spoken_since - flag url
Wednesday, November 28, 12

47. Language LanguageCountry Country
- language_id - language_id - country_id
- name - country_id - name
- word count - spoken_since - flag url
Wednesday, November 28, 12

48. Language Country
IS_SPOKEN_IN
- name - name
- word count - flag url
Wednesday, November 28, 12

49. Language Country
IS_SPOKEN_IN
- name - name
- word count - flag url
SIMILAR_TO ADJACENT_TO
Wednesday, November 28, 12

50. Anti-Patterns
Wednesday, November 28, 12

51. Hefty nodes
Wednesday, November 28, 12

52. User
- first_name
- ship_address
- last_name
- ship_city
- email_address
- ship_state
- bill_address
- ship_zip
- bill_city
- regular_customer
- bill_state
- bill_zip
Wednesday, November 28, 12

53. BILLS_TO Address
User
- first_name - street_address
- last_name - city
- email_address - state
- regular_customer SHIPS_TO - zip
Wednesday, November 28, 12

54. BILLS_TO
User Address
- first_name - street_address
- last_name SHIPS_TO - city
- email_address - state
- zip
IS_A
Regular customer
Wednesday, November 28, 12

55. Jess
IS_A
Regular
customer IS_A
IS_A
Andreas
Andrew
Wednesday, November 28, 12

56. Missing nodes
Wednesday, November 28, 12

57. EMAILED
Peter Jim
Wednesday, November 28, 12

58. SENT TO
Peter Email Jim
Wednesday, November 28, 12

59. Hot node
Wednesday, November 28, 12

60. Wednesday, November 28, 12

61. Key takeaways
Wednesday, November 28, 12

62. Indexes for starting points
Relationships for queries
Read sentences from the graph
Look out for verb’d nouns
Wednesday, November 28, 12

63. - Indexes for starting points
- Relationships for queries
- Read sentences from the graph
- Look out for verb’d nouns
Data modeling with graphs @PeterBell
Wednesday, November 28, 12