Graphs, GraphDBs and JavaScript

A look at graphs, graph databases, and JavaScript

Transcript

1. Graphs, GraphDB’s and
   JavaScript
   

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11. ?
    ?
    ?
    

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14. Graphs revealed
    

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17. ?
    Start
    

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18. ?
    Start
    

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21. Graphs are everywhere
    

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37. Graph Databases
    

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41. Lots of Graph Databases
    to choose from…
    

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46. $ docker pull neo4j:3.1.0
    $ docker run -d -p 7474:7474 -p 7687:7687 

    -v ~/data:/data --name neo4j neo4j:3.1.0
    

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48. (NODE) [RELATIONSHIP] (NODE)
    (Person)-[:KNOWS {since: "20120225"}]-(Person)
    

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49. (NODE) [RELATIONSHIP] (NODE)
    (Person)-[:KNOWS {since: "20120225"}]-(Person)
    

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50. (NODE) [RELATIONSHIP] (NODE)
    (Person)-[:KNOWS {since: "20120225"}]-(Person)
    

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51. (NODE) [RELATIONSHIP] (NODE)
    (Person)-[:KNOWS {since: "20120225"}]-(Person)
    

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52. MATCH (p:Person {name: "Alex"})
    RETURN p;
    

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53. MATCH (p:Person {name: "Alex"})
    RETURN p;
    

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54. MATCH (p:Person {name: "Alex"})
    RETURN p;
    

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55. MATCH (p:Person {name: "Alex"})
    RETURN p;
    

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56. MATCH (p:Person {name: "Alex"})
    RETURN p;
    

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57. MATCH (p:Person)
    RETURN p;
    

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59. MATCH
    (p1:Person {name: "Alex"})
    -[r:Knows]-
    (p2:Person {name: "Susan"})
    RETURN p1, r, p2;
    

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60. MATCH
    (p1:Person {name: "Alex"})
    -[r:Knows]-
    (p2:Person {name: "Susan"})
    RETURN p1, r, p2;
    

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61. MATCH
    (p1:Person {name: "Alex"})
    -[r:Knows]-
    (p2:Person)
    RETURN p1, r, p2;
    

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63. MATCH (p1:Person)-[]-(p2:Person)
    RETURN p1, p2;
    

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65. MATCH
    (p1:Person {name: "Susan"})
    -[r:Knows*2]-
    (p2:Person {interest: "business"})
    RETURN p1, r, p2;
    

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66. MATCH
    (p1:Person {name: "Susan"})
    -[r:Knows*2]-
    (p2:Person {interest: "business"})
    RETURN p1, r, p2;
    

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67. MATCH
    (p1:Person {name: "Susan"})
    -[r:Knows*2]-
    (p2:Person {interest: "business"})
    RETURN p1, r, p2;
    

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68. MATCH
    (p1:Person {name: "Susan"})
    -[r:Knows*2]-
    (p2:Person {interest: "business"})
    RETURN p1, r, p2;
    

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69. MATCH
    (p1:Person {name: "Susan"})
    -[r:Knows*2]-
    (p2:Person {interest: "business"})
    RETURN p1, r, p2;
    

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72. Accessing Neo
    from JavaScript
    

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73. $ mkdir neo-test; cd neo-test
    $ npm init -y
    $ npm install neo4j-driver
    

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74. Sample code
    

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75. TrumpWorld
    

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79. Trump World
    Visiting Trump World
    

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85. Recap
    • We began our journey by learning about network graphs
    • We discovered that graphs are everywhere
    

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86. Recap
    • We also learned that we actually think in terms of graphs
    • We learned that graph databases are a natural extension for
    representing our data models and their relationships
    • Finally, we saw the power of using graph databases to better
    understand current events
    

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87. Next Steps
    • If you enjoyed this presentation say thanks by staring the github
    repo. https://github.com/cjus/node-neo4j-presentation
    • Visit the Neo4j website: https://neo4j.com/
    • Download their free book: https://neo4j.com/graph-databases-book
    • Enroll in a free online training course: https://neo4j.com/
    graphacademy/online-training/introduction-graph-databases
    

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88. Books
    • Graph Databases by Ian Robison, Jim Webber & Emil Eifrem
    • Learning Neo4j by Rik Bruggen
    • Linked: The New Science Of Networks Science Of Networks by Albert-laszlo
    Barabasi
    • The Tipping Point: How Little Things Can Make a Big Difference by Malcolm Gladwell
    • Six Degrees: The Science of a Connected Age by Duncan J. Watts
    There a lots of books on Graphs and Graph Databases. 

    Here are just the ones I've read.
    

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89. Photos / diagrams created by the author or licensed from iStockPhoto

    Trump caricature by Denys Almaral
    @cjus - github / twitter
    http://cjus.me
    

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