Gerry McNicol Graph Databases
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The document provides an overview of graph databases and Neo4j. It defines that a graph is made up of nodes and relationships, with nodes connected by relationships that have a direction and properties. Graph databases are useful for modeling connected or variably structured data. Neo4j is introduced as an open-source graph database with good driver support and the Cypher query language. Examples demonstrate creating nodes, relationships, and queries in Cypher.
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Gerry McNicol Graph Databases
- 2. What is a Graph Database?
- 3. Relational - RDBMS MySQL MS SQL Server Oracle IBM DB2 Terra Data
- 5. Functions Relational - RDBMS Triggers Atomic Consistent Isolated Durable SQL Language Referential Integrity Indexes Stored Procedures Multi-Dimensional Modelling (cubes)
- 8. Neo4j
- 9. Data Model
- 10. Data Model Thing
- 15. Data Model Thing Database Server Relational Graph Yes Yes (and possibly no)
- 16. Data Model Thing Database Server Catalogue Relational Graph Yes Yes (and possibly no)
- 17. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes
- 18. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No
- 19. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table
- 20. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes
- 21. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No
- 22. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row
- 23. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes
- 24. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes No
- 25. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes No Cell?
- 26. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes No Cell? Yes
- 27. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes No Cell? Yes No
- 28. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes No Cell? Yes No Relationship
- 29. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes No Cell? Yes No Relationship Yes
- 30. Data Model Thing Relational Graph Database Server Yes Yes (and possibly no) Catalogue Yes No Table Yes No Row Yes No Cell? Yes No Relationship Yes Yes! (well, kind of..)
- 31. What is a Graph?
- 32. What is a Graph? Gerry
- 33. What is a Graph? Gerry Tom
- 34. What is a Graph? Gerry Tom
- 35. What is a Graph? FRIENDS_WITH Gerry Tom
- 36. What is a Graph? FRIENDS_WITH Gerry Formula 1 Tom Tennis Mouse
- 37. What is a Graph? FRIENDS_WITH Gerry Tom IS_A Formula 1 Tennis Mouse
- 38. What is a Graph? FRIENDS_WITH Gerry Tom IS_A Formula 1 CHASES Tennis Mouse
- 39. What is a Graph? FRIENDS_WITH Gerry Tom LIKES IS_A Formula 1 Tennis CHASES Mouse
- 40. What is a Graph? FRIENDS_WITH Gerry LIKES Formula 1 Tom LIKES IS_A Tennis CHASES Mouse
- 41. What is a Graph? FRIENDS_WITH Gerry DRIVES_IN Formula 1 LIKES Tom LIKES IS_A Tennis CHASES Mouse
- 50. What is a Graph? • Made up of Nodes and Relationships • Nodes are connected by Relationships • Every Relationship has ... • a starting and ending Node • a direction • Both Nodes and Relationships can have properties. • Very flexible data structure
- 54. Use Cases • Very powerful and flexible data model • Semantically rich - very descriptive • Densely-connected data sets • Variably Structured data sets
- 55. Use Cases Situations where we need to understand not only that somethings are connected, but also something about those connections. ! e.g. strength, weight, quality
- 56. Use Cases • Communication networks • Medical Pathways • Recommendation Engines • Transport Network • Fraud rings • Data Center Networks • Access Control • Electricity Grids • Logistics Networks • Time series
- 58. Neo4j • ACID compliment • Open source - community option • Good driver support - REST API, .net, java, php, ruby, python, scala, node.js, etc... • Has a powerful query language - Cypher
- 59. Cypher: Creating Nodes and Relationships
- 60. Cypher: Creating Nodes and Relationships name:Gerry
- 61. Cypher: Creating Nodes and Relationships name:Gerry CREATE ({name:’Gerry’});
- 62. Cypher: Creating Nodes and Relationships name:Gerry
- 63. Cypher: Creating Nodes and Relationships name:Gerry CREATE (u:user {name:’Gerry’}) return u;
- 64. Cypher: Creating Nodes and Relationships name:Gerry CREATE (u:user {name:’Gerry’}) return u; Node type label
- 65. Cypher: Creating Nodes and Relationships name:Gerry CREATE (u:user {name:’Gerry’}) return u; Node type label ‘u’ is is declared and, in the context of this statement, represents the node.
- 66. Cypher: Creating Nodes and Relationships name:Gerry name:Tom
- 67. Cypher: Creating Nodes and Relationships name:Gerry name:Tom CREATE (u:user {name:’Gerry’}) WITH u CREATE (t:user {name:’Tom’}) RETURN u,t;
- 68. Cypher: Creating Nodes and Relationships name:Gerry name:Tom
- 69. Cypher: Creating Nodes and Relationships FRIENDS_WITH name:Gerry name:Tom
- 70. Cypher: Creating Nodes and Relationships FRIENDS_WITH name:Gerry name:Tom CREATE (u:user {name:’Gerry’}) WITH u CREATE (t:user {name:’Tom’}) WITH u,t CREATE (u)-[r:FRIENDS_WITH]->(t) RETURN u,t,r;
- 71. Cypher: Creating Nodes and Relationships FRIENDS_WITH name:Gerry name:Tom {since: 10/1/2013} CREATE (u:user {name:’Gerry’}) WITH u CREATE (t:user {name:’Tom’}) WITH u,t CREATE (u)-[r:FRIENDS_WITH {since:’10/01/2013’}]->(t) RETURN u,t,r;
- 73. Cypher: Selecting Stuff name:Gerry name:Pete name:Barry name:Tom match (n:user) return n;
- 74. Cypher: Selecting Stuff name:Gerry name:Pete name:Barry name:Tom match (n:user) return n; name:Pete match (n:user{name:’Pete’}) return n;
- 76. Cypher: Selecting Stuff name:Pete FRIENDS_WITH name:Gerry FRIENDS_WITH FRIENDS_WITH name:Barry name:Tom MATCH (u:user {name:’Gerry'}) WITH u MATCH (u)-[FRIENDS_WITH*0..1]-(f) RETURN f;
- 78. Cypher: Selecting Stuff name:Pete FRIENDS_WITH name:Gerry FRIENDS_WITH FRIENDS_WITH name:Barry FRIENDS_WITH name:Tom MATCH (u:user {name:’Gerry'}) WITH u MATCH (u)-[FRIENDS_WITH*0..2]-(f) RETURN f; name:Alan
- 79. Demo