SlideShare a Scribd company logo
1 of 10
Download to read offline
Hackolade Tutorial
Part 11 – Create a model for graph databases
Copyright © 2016-2023 Hackolade 1
Note
• Note: this part of the Hackolade tutorial is specific to property graph
databases such as Neo4j, Cosmos DB with Gremlin API, JanusGraph,
Neptune with Gremlin API, Tinkerpop, etc.
Copyright © 2016-2023 Hackolade 2
About property graph databases
• Special family of NoSQL databases
• Unique ability to “treat relationships as first class citizens”
• Allows to reveal hidden relationships between data elements more easily and
quickly
• Different from “relational” databases: there, relations are used to
enforce referential integrity between normalized entities, using
foreign keys
• Relational databases “JOIN” the data at read time
• Graph databases explicitly connect the data at write time
• Use cases: fraud detection, recommendation engines, social
networks, logistics, pathfinding, graph data science, …
Copyright © 2016-2023 Hackolade 3
About property graph databases
• Using
• vertices / nodes for entities,
• edges / relationships for the links
between specific instances of entities
• properties on BOTH nodes and
relationships to qualify them
• labels to group nodes together in
subgraphs
• types to categorize relationships
• Visually attractive!
Copyright © 2016-2023 Hackolade 4
Graphs can be represented in an ERD
• Special adaptation for properties on relationships
Copyright © 2016-2023 Hackolade 5
Creating a graph diagram
Copyright © 2016-2023 Hackolade 6
Specific toolbar functions
• Toggle force-directed layout
• Orientation of label names
• Attribute boxes
• Pinning of individual nodes
• See this page for many more controls
Copyright © 2016-2023 Hackolade 7
Forward-engineering for Property graphs
• Depends on the capabilities of the target technology
• With or without schema
• By example when no schema
Copyright © 2016-2023 Hackolade 8
Reading material
• See Hackolade online documentation
• The Hackolade Blog
• These excellent new books:
• Neo4j Data Modeling
• MongoDB Data Modeling & Schema Design
• Many of the principles in the book are related to query
driven modeling based on access patterns
• Hackolade’s on social media: LinkedIn page, Twitter page
• Download Hackolade studio for free
Copyright © 2016-2023 Hackolade 9
Questions?
Answers!
Copyright © 2016-2023 Hackolade 10

More Related Content

Similar to Create a Model for Graph Databases in Hackolade Tutorial Part 11

NoSQL Simplified: Schema vs. Schema-less
NoSQL Simplified: Schema vs. Schema-lessNoSQL Simplified: Schema vs. Schema-less
NoSQL Simplified: Schema vs. Schema-lessInfiniteGraph
 
How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...
How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...
How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...Jean Ihm
 
An Introduction to Big Data, NoSQL and MongoDB
An Introduction to Big Data, NoSQL and MongoDBAn Introduction to Big Data, NoSQL and MongoDB
An Introduction to Big Data, NoSQL and MongoDBWilliam LaForest
 
20181019 code.talks graph_analytics_k_patenge
20181019 code.talks graph_analytics_k_patenge20181019 code.talks graph_analytics_k_patenge
20181019 code.talks graph_analytics_k_patengeKarin Patenge
 
Choosing the Right Big Data Tools for the Job - A Polyglot Approach
Choosing the Right Big Data Tools for the Job - A Polyglot ApproachChoosing the Right Big Data Tools for the Job - A Polyglot Approach
Choosing the Right Big Data Tools for the Job - A Polyglot ApproachDATAVERSITY
 
An Introduction to NOSQL, Graph Databases and Neo4j
An Introduction to NOSQL, Graph Databases and Neo4jAn Introduction to NOSQL, Graph Databases and Neo4j
An Introduction to NOSQL, Graph Databases and Neo4jDebanjan Mahata
 
Hackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdf
Hackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdfHackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdf
Hackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdfPascalDesmarets1
 
No Sql Movement
No Sql MovementNo Sql Movement
No Sql MovementAjit Koti
 
Graph Database and Neo4j
Graph Database and Neo4jGraph Database and Neo4j
Graph Database and Neo4jSina Khorami
 
NoSQL Data Architecture Patterns
NoSQL Data ArchitecturePatternsNoSQL Data ArchitecturePatterns
NoSQL Data Architecture PatternsMaynooth University
 
AI, Knowledge Representation and Graph Databases -
 Key Trends in Data Science
AI, Knowledge Representation and Graph Databases -
 Key Trends in Data ScienceAI, Knowledge Representation and Graph Databases -
 Key Trends in Data Science
AI, Knowledge Representation and Graph Databases -
 Key Trends in Data ScienceOptum
 
Arches Getty Brownbag Talk
Arches Getty Brownbag TalkArches Getty Brownbag Talk
Arches Getty Brownbag Talkbenosteen
 
20181123 dn2018 graph_analytics_k_patenge
20181123 dn2018 graph_analytics_k_patenge20181123 dn2018 graph_analytics_k_patenge
20181123 dn2018 graph_analytics_k_patengeKarin Patenge
 
Tutorial Getting Started part 4 - Domain-Driven Data Modeling
Tutorial Getting Started part 4 - Domain-Driven Data ModelingTutorial Getting Started part 4 - Domain-Driven Data Modeling
Tutorial Getting Started part 4 - Domain-Driven Data ModelingPascalDesmarets1
 
introduction to NOSQL Database
introduction to NOSQL Databaseintroduction to NOSQL Database
introduction to NOSQL Databasenehabsairam
 

Similar to Create a Model for Graph Databases in Hackolade Tutorial Part 11 (20)

NoSQL Simplified: Schema vs. Schema-less
NoSQL Simplified: Schema vs. Schema-lessNoSQL Simplified: Schema vs. Schema-less
NoSQL Simplified: Schema vs. Schema-less
 
How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...
How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...
How To Model and Construct Graphs with Oracle Database (AskTOM Office Hours p...
 
An Introduction to Big Data, NoSQL and MongoDB
An Introduction to Big Data, NoSQL and MongoDBAn Introduction to Big Data, NoSQL and MongoDB
An Introduction to Big Data, NoSQL and MongoDB
 
Graph Databases
Graph DatabasesGraph Databases
Graph Databases
 
20181019 code.talks graph_analytics_k_patenge
20181019 code.talks graph_analytics_k_patenge20181019 code.talks graph_analytics_k_patenge
20181019 code.talks graph_analytics_k_patenge
 
Choosing the Right Big Data Tools for the Job - A Polyglot Approach
Choosing the Right Big Data Tools for the Job - A Polyglot ApproachChoosing the Right Big Data Tools for the Job - A Polyglot Approach
Choosing the Right Big Data Tools for the Job - A Polyglot Approach
 
An Introduction to NOSQL, Graph Databases and Neo4j
An Introduction to NOSQL, Graph Databases and Neo4jAn Introduction to NOSQL, Graph Databases and Neo4j
An Introduction to NOSQL, Graph Databases and Neo4j
 
Hackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdf
Hackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdfHackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdf
Hackolade Tutorial - part 6 - Add choice, conditional, pattern fields.pdf
 
Graph Database
Graph DatabaseGraph Database
Graph Database
 
No Sql Movement
No Sql MovementNo Sql Movement
No Sql Movement
 
MongoDB Basics
MongoDB BasicsMongoDB Basics
MongoDB Basics
 
Graph Database and Neo4j
Graph Database and Neo4jGraph Database and Neo4j
Graph Database and Neo4j
 
NoSQL Data Architecture Patterns
NoSQL Data ArchitecturePatternsNoSQL Data ArchitecturePatterns
NoSQL Data Architecture Patterns
 
Anti-social Databases
Anti-social DatabasesAnti-social Databases
Anti-social Databases
 
AI, Knowledge Representation and Graph Databases -
 Key Trends in Data Science
AI, Knowledge Representation and Graph Databases -
 Key Trends in Data ScienceAI, Knowledge Representation and Graph Databases -
 Key Trends in Data Science
AI, Knowledge Representation and Graph Databases -
 Key Trends in Data Science
 
Arches Getty Brownbag Talk
Arches Getty Brownbag TalkArches Getty Brownbag Talk
Arches Getty Brownbag Talk
 
Drupal In 1 Hour
Drupal In 1 HourDrupal In 1 Hour
Drupal In 1 Hour
 
20181123 dn2018 graph_analytics_k_patenge
20181123 dn2018 graph_analytics_k_patenge20181123 dn2018 graph_analytics_k_patenge
20181123 dn2018 graph_analytics_k_patenge
 
Tutorial Getting Started part 4 - Domain-Driven Data Modeling
Tutorial Getting Started part 4 - Domain-Driven Data ModelingTutorial Getting Started part 4 - Domain-Driven Data Modeling
Tutorial Getting Started part 4 - Domain-Driven Data Modeling
 
introduction to NOSQL Database
introduction to NOSQL Databaseintroduction to NOSQL Database
introduction to NOSQL Database
 

More from PascalDesmarets1

Tutorial Workgroup - Working with Forks
Tutorial Workgroup - Working with ForksTutorial Workgroup - Working with Forks
Tutorial Workgroup - Working with ForksPascalDesmarets1
 
Tutorial Advanced How-To - Oracle 23c Duality views
Tutorial Advanced How-To - Oracle 23c Duality viewsTutorial Advanced How-To - Oracle 23c Duality views
Tutorial Advanced How-To - Oracle 23c Duality viewsPascalDesmarets1
 
Tutorial Expert How-To - Docker-based automation
Tutorial Expert How-To - Docker-based automationTutorial Expert How-To - Docker-based automation
Tutorial Expert How-To - Docker-based automationPascalDesmarets1
 
Tutorial Getting Started part 3 - Metadata-as-Code
Tutorial Getting Started part 3 - Metadata-as-CodeTutorial Getting Started part 3 - Metadata-as-Code
Tutorial Getting Started part 3 - Metadata-as-CodePascalDesmarets1
 
Tutorial Expert How-To - Create a model for Avro schemas
Tutorial Expert How-To - Create a model for Avro schemasTutorial Expert How-To - Create a model for Avro schemas
Tutorial Expert How-To - Create a model for Avro schemasPascalDesmarets1
 
Tutorial Getting Started part 1 - Overview
Tutorial Getting Started part 1 - OverviewTutorial Getting Started part 1 - Overview
Tutorial Getting Started part 1 - OverviewPascalDesmarets1
 
Tutorial Expert How-To - Verify Data Model
Tutorial Expert How-To - Verify Data ModelTutorial Expert How-To - Verify Data Model
Tutorial Expert How-To - Verify Data ModelPascalDesmarets1
 
Tutorial Workgroup - Model versioning and collaboration
Tutorial Workgroup - Model versioning and collaborationTutorial Workgroup - Model versioning and collaboration
Tutorial Workgroup - Model versioning and collaborationPascalDesmarets1
 
Tutorial Expert How-To - Naming Conventions
Tutorial Expert How-To - Naming ConventionsTutorial Expert How-To - Naming Conventions
Tutorial Expert How-To - Naming ConventionsPascalDesmarets1
 
Tutorial Expert How-To - Export-Import with Excel template
Tutorial Expert How-To - Export-Import with Excel templateTutorial Expert How-To - Export-Import with Excel template
Tutorial Expert How-To - Export-Import with Excel templatePascalDesmarets1
 
Tutorial Expert How-To - Compare and Merge
Tutorial Expert How-To - Compare and MergeTutorial Expert How-To - Compare and Merge
Tutorial Expert How-To - Compare and MergePascalDesmarets1
 
Tutorial Expert How-To - Custom properties
Tutorial Expert How-To - Custom propertiesTutorial Expert How-To - Custom properties
Tutorial Expert How-To - Custom propertiesPascalDesmarets1
 
Tutorial Expert How-To - Command Line Interface (CLI)
Tutorial Expert How-To - Command Line Interface (CLI)Tutorial Expert How-To - Command Line Interface (CLI)
Tutorial Expert How-To - Command Line Interface (CLI)PascalDesmarets1
 
Hackolade Tutorial - part 13 - Leverage a Polyglot data model
Hackolade Tutorial - part 13 - Leverage a Polyglot data modelHackolade Tutorial - part 13 - Leverage a Polyglot data model
Hackolade Tutorial - part 13 - Leverage a Polyglot data modelPascalDesmarets1
 
Hackolade Tutorial - part 12 - Create a REST API model
Hackolade Tutorial - part  12 - Create a REST API modelHackolade Tutorial - part  12 - Create a REST API model
Hackolade Tutorial - part 12 - Create a REST API modelPascalDesmarets1
 
Hackolade Tutorial - part 8 - Import or reverse-engineer.pdf
Hackolade Tutorial - part 8 - Import or reverse-engineer.pdfHackolade Tutorial - part 8 - Import or reverse-engineer.pdf
Hackolade Tutorial - part 8 - Import or reverse-engineer.pdfPascalDesmarets1
 
Hackolade Tutorial - part 4 - Create your first data model
Hackolade Tutorial - part 4 - Create your first data modelHackolade Tutorial - part 4 - Create your first data model
Hackolade Tutorial - part 4 - Create your first data modelPascalDesmarets1
 
Hackolade Tutorial - part 2 - Overview of JSON and JSON schema
Hackolade Tutorial - part 2 - Overview of JSON and JSON schemaHackolade Tutorial - part 2 - Overview of JSON and JSON schema
Hackolade Tutorial - part 2 - Overview of JSON and JSON schemaPascalDesmarets1
 

More from PascalDesmarets1 (18)

Tutorial Workgroup - Working with Forks
Tutorial Workgroup - Working with ForksTutorial Workgroup - Working with Forks
Tutorial Workgroup - Working with Forks
 
Tutorial Advanced How-To - Oracle 23c Duality views
Tutorial Advanced How-To - Oracle 23c Duality viewsTutorial Advanced How-To - Oracle 23c Duality views
Tutorial Advanced How-To - Oracle 23c Duality views
 
Tutorial Expert How-To - Docker-based automation
Tutorial Expert How-To - Docker-based automationTutorial Expert How-To - Docker-based automation
Tutorial Expert How-To - Docker-based automation
 
Tutorial Getting Started part 3 - Metadata-as-Code
Tutorial Getting Started part 3 - Metadata-as-CodeTutorial Getting Started part 3 - Metadata-as-Code
Tutorial Getting Started part 3 - Metadata-as-Code
 
Tutorial Expert How-To - Create a model for Avro schemas
Tutorial Expert How-To - Create a model for Avro schemasTutorial Expert How-To - Create a model for Avro schemas
Tutorial Expert How-To - Create a model for Avro schemas
 
Tutorial Getting Started part 1 - Overview
Tutorial Getting Started part 1 - OverviewTutorial Getting Started part 1 - Overview
Tutorial Getting Started part 1 - Overview
 
Tutorial Expert How-To - Verify Data Model
Tutorial Expert How-To - Verify Data ModelTutorial Expert How-To - Verify Data Model
Tutorial Expert How-To - Verify Data Model
 
Tutorial Workgroup - Model versioning and collaboration
Tutorial Workgroup - Model versioning and collaborationTutorial Workgroup - Model versioning and collaboration
Tutorial Workgroup - Model versioning and collaboration
 
Tutorial Expert How-To - Naming Conventions
Tutorial Expert How-To - Naming ConventionsTutorial Expert How-To - Naming Conventions
Tutorial Expert How-To - Naming Conventions
 
Tutorial Expert How-To - Export-Import with Excel template
Tutorial Expert How-To - Export-Import with Excel templateTutorial Expert How-To - Export-Import with Excel template
Tutorial Expert How-To - Export-Import with Excel template
 
Tutorial Expert How-To - Compare and Merge
Tutorial Expert How-To - Compare and MergeTutorial Expert How-To - Compare and Merge
Tutorial Expert How-To - Compare and Merge
 
Tutorial Expert How-To - Custom properties
Tutorial Expert How-To - Custom propertiesTutorial Expert How-To - Custom properties
Tutorial Expert How-To - Custom properties
 
Tutorial Expert How-To - Command Line Interface (CLI)
Tutorial Expert How-To - Command Line Interface (CLI)Tutorial Expert How-To - Command Line Interface (CLI)
Tutorial Expert How-To - Command Line Interface (CLI)
 
Hackolade Tutorial - part 13 - Leverage a Polyglot data model
Hackolade Tutorial - part 13 - Leverage a Polyglot data modelHackolade Tutorial - part 13 - Leverage a Polyglot data model
Hackolade Tutorial - part 13 - Leverage a Polyglot data model
 
Hackolade Tutorial - part 12 - Create a REST API model
Hackolade Tutorial - part  12 - Create a REST API modelHackolade Tutorial - part  12 - Create a REST API model
Hackolade Tutorial - part 12 - Create a REST API model
 
Hackolade Tutorial - part 8 - Import or reverse-engineer.pdf
Hackolade Tutorial - part 8 - Import or reverse-engineer.pdfHackolade Tutorial - part 8 - Import or reverse-engineer.pdf
Hackolade Tutorial - part 8 - Import or reverse-engineer.pdf
 
Hackolade Tutorial - part 4 - Create your first data model
Hackolade Tutorial - part 4 - Create your first data modelHackolade Tutorial - part 4 - Create your first data model
Hackolade Tutorial - part 4 - Create your first data model
 
Hackolade Tutorial - part 2 - Overview of JSON and JSON schema
Hackolade Tutorial - part 2 - Overview of JSON and JSON schemaHackolade Tutorial - part 2 - Overview of JSON and JSON schema
Hackolade Tutorial - part 2 - Overview of JSON and JSON schema
 

Recently uploaded

FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGSujit Pal
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 

Recently uploaded (20)

FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 

Create a Model for Graph Databases in Hackolade Tutorial Part 11

  • 1. Hackolade Tutorial Part 11 – Create a model for graph databases Copyright © 2016-2023 Hackolade 1
  • 2. Note • Note: this part of the Hackolade tutorial is specific to property graph databases such as Neo4j, Cosmos DB with Gremlin API, JanusGraph, Neptune with Gremlin API, Tinkerpop, etc. Copyright © 2016-2023 Hackolade 2
  • 3. About property graph databases • Special family of NoSQL databases • Unique ability to “treat relationships as first class citizens” • Allows to reveal hidden relationships between data elements more easily and quickly • Different from “relational” databases: there, relations are used to enforce referential integrity between normalized entities, using foreign keys • Relational databases “JOIN” the data at read time • Graph databases explicitly connect the data at write time • Use cases: fraud detection, recommendation engines, social networks, logistics, pathfinding, graph data science, … Copyright © 2016-2023 Hackolade 3
  • 4. About property graph databases • Using • vertices / nodes for entities, • edges / relationships for the links between specific instances of entities • properties on BOTH nodes and relationships to qualify them • labels to group nodes together in subgraphs • types to categorize relationships • Visually attractive! Copyright © 2016-2023 Hackolade 4
  • 5. Graphs can be represented in an ERD • Special adaptation for properties on relationships Copyright © 2016-2023 Hackolade 5
  • 6. Creating a graph diagram Copyright © 2016-2023 Hackolade 6
  • 7. Specific toolbar functions • Toggle force-directed layout • Orientation of label names • Attribute boxes • Pinning of individual nodes • See this page for many more controls Copyright © 2016-2023 Hackolade 7
  • 8. Forward-engineering for Property graphs • Depends on the capabilities of the target technology • With or without schema • By example when no schema Copyright © 2016-2023 Hackolade 8
  • 9. Reading material • See Hackolade online documentation • The Hackolade Blog • These excellent new books: • Neo4j Data Modeling • MongoDB Data Modeling & Schema Design • Many of the principles in the book are related to query driven modeling based on access patterns • Hackolade’s on social media: LinkedIn page, Twitter page • Download Hackolade studio for free Copyright © 2016-2023 Hackolade 9