Data Modeling with Graph Databases
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Transcript of Data Modeling with Graph Databases
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DATA MODELING WITH GRAPH DATABASES
Ross McNeelyPrincipal Consultant, Practice Manager, Business Intelligence
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DATA MODELING WITH GRAPH DATABASES
Agenda
• Introduction to the Graph Model (15 min)• Data Modeling with Graph Databases (15 min)• Relational and Graph Models (10 min)• Healthcare Use Case (20 min)• Deeper Dive into Graph Databases (20 min)• Logistics Use Case (15 min)• Security Use Case (15 min)• Summary (5 min)
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DATA MODELING WITH GRAPH DATABASES
Introduction to the Graph
Model (15 min)
• Defining the Graph Database• Overview of the Graph Market• Benefits of the Graph Data Model
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DATA MODELING WITH GRAPH DATABASES
Data Modeling with Graph Databases
(15 min)
• Defining the Technical Jargon• Creating Nodes• Creating Relationships• Creating Properties
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DATA MODELING WITH GRAPH DATABASES
Relational and Graph Models
(10 min)
• The Similarities• The Differences
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DATA MODELING WITH GRAPH DATABASES
Healthcare Use Case (20 min)
• Patient Matching
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DATA MODELING WITH GRAPH DATABASES
Deeper Dive into Graph Databases
(20 min)
• Graph Modeling Continued• Iterative Graph Modeling• Graph Modeling Mistakes
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DATA MODELING WITH GRAPH DATABASES
Logistic Use Case (10
min)
• Multiple Picks• Multiple Drops
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DATA MODELING WITH GRAPH DATABASES
Security Use Case (10
min)
• Users• Customers• Regions• Impersonation
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DATA MODELING WITH GRAPH DATABASES
Summary
• Graph Modeling• Graph Databases• Tail Wind Informatics• Ross McNeely
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SPEAKER BIO
Ross McNeely is the Principle Consultant & BI Practice
Manager at Tail Wind Informatics.
Ross has been working with MS SQL Server BI stack for
over a decade. Enterprise Information
Management & Business Intelligence are Ross’ primary
focus.
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Business Intellige
nce Solutions
“Go Farther, Faster”