2. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
Today's Speakers
Benyue (Emma) Liu
Product Manager
● BS in Engineering from Harvey Mudd College, MS
in Engineering Systems from MIT
● Prior work experience at Oracle and MarkLogic
● Focus - Cloud, Containers, Enterprise Infra,
Monitoring, Management, Connectors
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3. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
1 No Code Graph Analytics Introduction
Demo
Use Case and Graph Features
Today’s Outline
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7. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
No Code Migration from Relational Database to TigerGraph
● User Friendly and Speedy
Transition from Relational
Data Stores to TigerGraph via
Simple Clicks
● Intuitive Steps to New Graph
Model through Auto
Generated Schema and Data
Mapping
● Accelerated ETL Process and
Built-in Data Loading
● Flexibility and Agility via
Customizable Options
Overview Video - tigergraph.com/nocode
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8. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
No Code Graph Analytics with Visual Query Builder
● Intuitive Approach to Graph
Analytics
○ Translate a question into an
executable query and get to the
Graph Insights. E.g. “I want to find all
the people who are friends of me and
my manager in Company X and Y”
● Speed to Business Value for Graph
Use Cases
○ Output Graph Insights through Graph
Patterns
● Decrease Learning Curve to Graph
Analytics
○ Drag and Drop - No need to write
GSQL Queries
Overview Video - tigergraph.com/nocode
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9. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
TigerGraph No Code Data Workflow
GraphStudio - TigerGraph Visual SDK
No Code
RDBMS
to Graph
Auto Populated
Graph Schema
Graph Data Mapping
Business
Intelligence
Analytics
Visualization
Dashboards
Reports
Data
Warehouses
Master Data
Stores
Machine
Learning
Relational
Data
Stores
No Code
Visual Query
Builder
Drag-and-Drop
Graph Patterns
Auto Generated
GSQL Queries
RESTful
APIs
Relational
Schema
& Data
DBs
Spark
Streams
Files ETL Data
Loader
User Customized
Graph Schema
Graph Data Mapping
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10. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
Who Are We Designing For?
Business Analysts who want to
explore common Graph
Analytics
Developers who are learning
and using TigerGraph and
GSQL, and want to reuse
Graph Patterns
Data Architects who are
transitioning from RDBMS to
TigerGraph, and want
auto-generated Graph
Schemas
Data Scientists who want to
examine Graph Features for
Machine Learning Models
Ease of
Use
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12. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
Anti Fraud and Money
Laundering Starter Kit
at tgcloud.io
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13. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
Count the number
of trust_score=0 of
referrer for a given
user, order the
users from high to
low according to
the low score
referrer count and
output the top 10
Graph Pattern: Low Score Referrer Count
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14. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
For a given payment
instrument, find user with
trust_score larger than
0.5, and their
transactions which are
larger than 10
Graph Pattern: High Transactions Trusted Users For A Given Device
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Find users who have
trust_score less than
0.15 and connected
to payment
instrument with
trust_score less than
0.1; and calculate
users’ total received
transaction amount,
and find the top 10
users with the
highest total amount
of transaction
Graph Pattern: High Transaction Amount For Low Trust Score
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Find users who are in the
6 hop transaction ring
(potentially fraud ring)
Graph Pattern - Fraud Ring
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17. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
Build Graph Patterns In Simple Steps
Step 1: Analyze Your Inquiry
Step 2: Identify Entities and Relationships
Step 3: Pick and Merge Vertices and Edges
Step 4: Add Filters/Aggregations/Orders/Limits/Parameters/Widgets
Step 5: Output and Verify Your Results
Overview Video - tigergraph.com/nocode
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19. | GRAPHAIWORLD.COM | #GRAPHAIWORLD |
No Code Visual Query Builder and RDBMS to Graph Tool
Faster and Intuitive Graph Feature Design
Call to Action: Try V3.0 No Code GUI at tgcloud.io
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20. Get Started for Free
● Try TigerGraph Cloud
● Take a Test Drive - Online Demo
● Get TigerGraph Certified
● Join the Community
@TigerGraphDB /tigergraph /TigerGraphDB /company/TigerGraph
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