Get to Know the Real World: Discovering Connected Data with a Graph Database

In this session, we will see how a graph database is different from other types of data stores and how it can transform your applications and data. Data science principles and tools can further aid in exploring and understanding complex data to expand possible uses and value.
We will see how to create, query, and display data in the graph and learn how to use simple tools to interact with the database. We will cover the whiteboard-friendly model and the basics of the Cypher query language. Live demos will show users the power of connected data and data science to understand data structure in the graph.

Transcript

1. Get to Know the Real World…
   Discovering Connected Data with a Graph Database
   Jennifer Reif
   Neo4j
   @JMHReif
   

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2. Who Am I?
   • Developer Relations Engineer for Neo4j
   
   • Continuous learner
   
   • Conference speaker
   
   • Blogger
   
   • Hobbies: cats, coffee, traveling
   Email: jennifer.reif@neo4j.com
   Twitter: @JMHReif
   

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3. What is a Graph Database?
   

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4. Graph
   Chart
   

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5. Database - specifically graph
   • Database: a structured set of data held in a computer,
   especially one that is accessible in various ways.
   • Relational? NoSQL? Graph?
   
   • Graph database: uses graph structures for semantic
   queries with nodes, edges and properties to represent
   and store data.
   

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6. Why would I choose graph?
   

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7. Graphs show how data is connected
   

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8. Relational
   Graph
   

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9. Other NoSQL Graph
   

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11. Graphs add context and meaning
    

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12. Graph use cases
    Social Network Fraud Detection Network & IT

    Operations
    Identity and

    Access Management
    Graph-based Search
    

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13. Connected data adds meaning to analytics
    

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15. Improves accuracy
    Machine Learning Pipeline
    

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16. Graph Data Science Uses
    Financial

    Crimes
    Drug

    Discovery
    Recommendations Customer

    Segmentation
    Cybersecurity Churn Prediction Predictive

    Maintenance Search & MDM
    

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18. Understanding the graph
    model
    

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19. Whiteboard
    Friendliness
    Easy to design and model direct representation of the model
    

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20. Whiteboard friendliness
    

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21. Whiteboard friendliness
    title: The Lord of the Rings…
    released: 2003
    Movie
    Cast
    name: Orlando Bloom
    name: Frodo Baggins
    Character
    PLAYED
    APPEARS_IN
    name: Elijah Wood
    Cast
    Character
    name: Legolas
    Character
    name: Aragorn
    name: Viggo Mortensen
    Cast
    PLAYED
    PLAYED
    APPEARS_IN
    APPEARS_IN
    

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22. Whiteboard friendliness
    

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23. How to construct a graph
    

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24. Property Graph Data Model
    • 2 Main Components:
    • Nodes
    • Relationships
    • Additional Components:
    • Labels
    
    • Properties
    

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25. Property Graph Data Model
    • Nodes:
    • Represent the objects in the graph
    • Can be categorized using Labels
    Person
    Technology
    Person
    Person
    Company
    Technology
    

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26. Property Graph Data Model
    • Nodes:
    • Represent the objects in the graph
    • Can be categorized using Labels
    • Relationships:
    • Relate nodes by type and direction
    Person
    Person
    Company
    Technology
    :LIKES
    :IS_FRIENDS_WITH
    :WORKS_FOR
    

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27. Property Graph Data Model
    • Nodes:
    • Represent the objects in the graph
    • Can be categorized using Labels
    • Relationships:
    • Relate nodes by type and direction
    
    • Properties:
    • Name-value pairs that can be applied
    to nodes or relationships
    :LIKES
    :IS_FRIENDS_WITH
    :WORKS_FOR
    Person
    name: Michael
    Person
    name: Jennifer
    Technology
    type: Graphs
    since: 2018
    Company
    name: Neo4j
    

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28. Cypher Query Language….
    SQL for graphs
    

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29. Cypher: Powerful and Expressive
    CREATE (:Person { name: ‘Jennifer’}) -[:WORKS_FOR]-> (:Company { name: ‘Neo4j’})
    LABEL PROPERTY
    NODE NODE
    LABEL PROPERTY
    Jennifer Neo4j
    WORKS_FOR
    

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30. Cypher: Powerful and Expressive
    MATCH (:Person { name: ‘Jennifer’} ) -[:WORKS_FOR]-> ( whom ) 

    RETURN whom
    Neo4j
    WORKS_FOR
    Jennifer
    

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31. Demo Time!!
    

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32. Resources
    • Neo4j download: https://neo4j.com/download/
    
    • Neo4j sandbox: https://neo4j.com/sandbox-v2/
    
    • Neo4j guides: https://neo4j.com/developer/get-started
    
    • Cypher: https://neo4j.com/developer/cypher/
    
    • LOAD CSV: https://neo4j.com/developer/guide-import-csv/
    
    • APOC: https://neo4j-contrib.github.io/neo4j-apoc-procedures/
    
    • Neo4j Certification: https://neo4j.com/graphacademy/neo4j-certification/
    @JMHReif
    jennifer.reif@neo4j.com
    

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