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2012 11-28 rich web data modeling with graphs-1
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2012 11-28 rich web data modeling with graphs-1

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  • 1. Data modeling . . . with graphs @PeterBellWednesday, November 28, 12
  • 2. - Terminology - Examples - Patterns - Key takeawaysAgendaWednesday, November 28, 12
  • 3. TerminologyWednesday, November 28, 12
  • 4. relational database tables columns records foreign keysWednesday, November 28, 12
  • 5. Wednesday, November 28, 12
  • 6. neo4j nodes relationships propertiesWednesday, November 28, 12
  • 7. Wednesday, November 28, 12
  • 8. Wednesday, November 28, 12
  • 9. indexesWednesday, November 28, 12
  • 10. Wednesday, November 28, 12
  • 11. indexesWednesday, November 28, 12
  • 12. traversalsWednesday, November 28, 12
  • 13. Wednesday, November 28, 12
  • 14. Wednesday, November 28, 12
  • 15. Wednesday, November 28, 12
  • 16. CypherWednesday, 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/propertiesWednesday, November 28, 12
  • 18. ExamplesWednesday, 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 CommenterWednesday, November 28, 12
  • 22. GeographicWednesday, November 28, 12
  • 23. BioinformaticWednesday, November 28, 12
  • 24. PatternsWednesday, November 28, 12
  • 25. start with a whiteboardWednesday, November 28, 12
  • 26. Wednesday, November 28, 12
  • 27. Handling entitiesWednesday, November 28, 12
  • 28. ...provide a familiar and consistent Spring based programming model while retaining store specific features and capabilitiesWednesday, November 28, 12
  • 29. Wednesday, November 28, 12
  • 30. Restaurant - name - address - cuisine - comment RECOMMENDS_THE - rating User - first_name - last_nameWednesday, 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_nameWednesday, November 28, 12
  • 34. Restaurant SERVES - name Cuisine - address - comment RECOMMENDS_THE - rating User - first_name - last_nameWednesday, November 28, 12
  • 35. SERVES Taj Mahal Indian cuisine - “Great garlic nan and tandoori” RECOMMENDS - 4/5 Fred JonesWednesday, November 28, 12
  • 36. read sentences from graphWednesday, November 28, 12
  • 37. Wednesday, November 28, 12
  • 38. Indexes for starting pointsWednesday, November 28, 12
  • 39. User - email_address - first_name - last_nameWednesday, November 28, 12
  • 40. Relationships for queryingWednesday, 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_nameWednesday, November 28, 12
  • 43. Jess LIVES_IN California LIVES_IN LIVES_IN Andreas AndrewWednesday, November 28, 12
  • 44. Use meaningful namesWednesday, November 28, 12
  • 45. Language Country - language_id - country_id - name - name - word count - flag url - country_idWednesday, November 28, 12
  • 46. Language LanguageCountry Country - language_id - language_id - country_id - name - country_id - name - word count - spoken_since - flag urlWednesday, November 28, 12
  • 47. Language LanguageCountry Country - language_id - language_id - country_id - name - country_id - name - word count - spoken_since - flag urlWednesday, November 28, 12
  • 48. Language Country IS_SPOKEN_IN - name - name - word count - flag urlWednesday, November 28, 12
  • 49. Language Country IS_SPOKEN_IN - name - name - word count - flag url SIMILAR_TO ADJACENT_TOWednesday, November 28, 12
  • 50. Anti-PatternsWednesday, November 28, 12
  • 51. Hefty nodesWednesday, 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_zipWednesday, November 28, 12
  • 53. BILLS_TO Address User - first_name - street_address - last_name - city - email_address - state - regular_customer SHIPS_TO - zipWednesday, November 28, 12
  • 54. BILLS_TO User Address - first_name - street_address - last_name SHIPS_TO - city - email_address - state - zip IS_A Regular customerWednesday, November 28, 12
  • 55. Jess IS_A Regular customer IS_A IS_A Andreas AndrewWednesday, November 28, 12
  • 56. Missing nodesWednesday, November 28, 12
  • 57. EMAILED Peter JimWednesday, November 28, 12
  • 58. SENT TO Peter Email JimWednesday, November 28, 12
  • 59. Hot nodeWednesday, November 28, 12
  • 60. Wednesday, November 28, 12
  • 61. Key takeawaysWednesday, November 28, 12
  • 62. Indexes for starting points Relationships for queries Read sentences from the graph Look out for verb’d nounsWednesday, November 28, 12
  • 63. - Indexes for starting points - Relationships for queries - Read sentences from the graph - Look out for verb’d nounsData modeling with graphs @PeterBellWednesday, November 28, 12

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