Graphs, GraphDBs and JavaScript

A look at graphs, graph databases, and JavaScript

Transcript

1. Graphs, GraphDB’s and JavaScript
11. ? ? ?
14. Graphs revealed
17. ? Start
18. ? Start
21. Graphs are everywhere
37. Graph Databases
41. Lots of Graph Databases to choose from…
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
48. (NODE) [RELATIONSHIP] (NODE) (Person)-[:KNOWS {since: "20120225"}]-(Person)
49. (NODE) [RELATIONSHIP] (NODE) (Person)-[:KNOWS {since: "20120225"}]-(Person)
50. (NODE) [RELATIONSHIP] (NODE) (Person)-[:KNOWS {since: "20120225"}]-(Person)
51. (NODE) [RELATIONSHIP] (NODE) (Person)-[:KNOWS {since: "20120225"}]-(Person)
52. MATCH (p:Person {name: "Alex"}) RETURN p;
53. MATCH (p:Person {name: "Alex"}) RETURN p;
54. MATCH (p:Person {name: "Alex"}) RETURN p;
55. MATCH (p:Person {name: "Alex"}) RETURN p;
56. MATCH (p:Person {name: "Alex"}) RETURN p;
57. MATCH (p:Person) RETURN p;
59. MATCH (p1:Person {name: "Alex"}) -[r:Knows]- (p2:Person {name: "Susan"}) RETURN p1, r, p2;
60. MATCH (p1:Person {name: "Alex"}) -[r:Knows]- (p2:Person {name: "Susan"}) RETURN p1, r, p2;
61. MATCH (p1:Person {name: "Alex"}) -[r:Knows]- (p2:Person) RETURN p1, r, p2;
63. MATCH (p1:Person)-[]-(p2:Person) RETURN p1, p2;
65. MATCH (p1:Person {name: "Susan"}) -[r:Knows*2]- (p2:Person {interest: "business"}) RETURN p1, r, p2;
66. MATCH (p1:Person {name: "Susan"}) -[r:Knows*2]- (p2:Person {interest: "business"}) RETURN p1, r, p2;
67. MATCH (p1:Person {name: "Susan"}) -[r:Knows*2]- (p2:Person {interest: "business"}) RETURN p1, r, p2;
68. MATCH (p1:Person {name: "Susan"}) -[r:Knows*2]- (p2:Person {interest: "business"}) RETURN p1, r, p2;
69. MATCH (p1:Person {name: "Susan"}) -[r:Knows*2]- (p2:Person {interest: "business"}) RETURN p1, r, p2;
72. Accessing Neo from JavaScript
73. $ mkdir neo-test; cd neo-test $ npm init -y $ npm install neo4j-driver
74. Sample code
75. TrumpWorld
79. Trump World Visiting Trump World
85. Recap • We began our journey by learning about network graphs • We discovered that graphs are everywhere
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
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
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.
89. Photos / diagrams created by the author or licensed from iStockPhoto
 Trump caricature by Denys Almaral @cjus - github / twitter http://cjus.me