What does the Graph Databases with Amazon Neptune course cover?
Graph Databases with Amazon Neptune is covered here in 8 modules: Introduction to Graph Databases: Introduction to Amazon Neptune, Amazon Neptune Fundamentals: Overview of Amazon Neptune architecture, Data Modeling in Graph Databases: Property graph data model, RDF and SPARQL in graph databases and 5 more. The outline lists 32 specific topics, opening with what are graph databases?
How do you approach Graph Databases with Amazon Neptune step by step?
The work is sequenced in 8 stages. It starts with Introduction to Graph Databases: Introduction to Amazon Neptune, moves through Amazon Neptune Fundamentals: Overview of Amazon Neptune architecture and Data Modeling in Graph Databases: Property graph data model, RDF and SPARQL in graph databases, and ends at Case Studies and Best Practices: Real-world case studies of Amazon Neptune deployments.
What is in Module 1 of the Graph Databases with Amazon Neptune course?
Module 1 is Introduction to Graph Databases: Introduction to Amazon Neptune. It works through what are graph databases?, advantages and use cases of graph databases, overview of popular graph database platforms and 1 more. It sets the vocabulary the remaining 7 modules build on.
What is fully managed graph database?
The Graph Databases with Amazon Neptune outline covers this across what are graph databases?, advantages and use cases of graph databases and overview of popular graph database platforms, and 8 further topics. They sit inside a 8 module sequence, so the material arrives with the surrounding method rather than as a standalone tip.
How is the Graph Databases with Amazon Neptune course delivered?
The Graph Databases with Amazon Neptune course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Graph Databases with Amazon Neptune course cost?
The Graph Databases with Amazon Neptune course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Amazon Neptune Toolkit, Amazon Neptune, The Data Engineer's Course on Building Governance.
More answers: what you get with every course, refund policy, all help answers.
Mastering Graph Databases with Amazon Neptune
Course Overview
This comprehensive course is designed to help you master the concepts of graph databases and Amazon Neptune. With a focus on interactive and engaging learning, you'll gain hands-on experience with real-world applications and projects. Upon completion, you'll receive a certificate issued by The Art of Service.Course Features
- Interactive and engaging learning experience
- Comprehensive and up-to-date content
- Personalized learning with expert instructors
- Practical, real-world applications and projects
- High-quality content and resources
- Certificate issued by The Art of Service upon completion
- Flexible learning with lifetime access
- User-friendly and mobile-accessible platform
- Community-driven with discussion forums and support
- Actionable insights and hands-on projects
- Bite-sized lessons and progress tracking
- Gamification and interactive elements
Course Outline
Module 1. Introduction to Graph Databases: Introduction to Amazon Neptune
- What are graph databases?
- Advantages and use cases of graph databases
- Overview of popular graph database platforms
- Introduction to Amazon Neptune
Module 2. Amazon Neptune Fundamentals: Overview of Amazon Neptune architecture
- Overview of Amazon Neptune architecture
- Configuring and deploying Amazon Neptune
- Security and access control in Amazon Neptune
- Monitoring and maintenance of Amazon Neptune
Module 3. Data Modeling in Graph Databases: Property graph data model, RDF and SPARQL in graph databases
- Introduction to data modeling in graph databases
- Entity-relationship modeling in graph databases
- Property graph data model
- RDF and SPARQL in graph databases
Module 4. Querying Graph Databases: SPARQL query language, Gremlin query language
- Introduction to querying graph databases
- Gremlin query language
- SPARQL query language
- Optimizing queries in graph databases
Module 5. Graph Algorithms and Analytics: Shortest paths and traversal algorithms
- Introduction to graph algorithms and analytics
- Shortest paths and traversal algorithms
- Centrality and community detection algorithms
- Graph clustering and partitioning algorithms
Module 6. Building Applications with Amazon Neptune: Using Amazon Neptune with AWS Glue
- Introduction to building applications with Amazon Neptune
- Using Amazon Neptune with AWS Lambda
- Using Amazon Neptune with AWS Glue
- Using Amazon Neptune with AWS SageMaker
Module 7. Advanced Topics in Amazon Neptune: Using Amazon Neptune with AWS IAM
- Introduction to advanced topics in Amazon Neptune
- Using Amazon Neptune with AWS IAM
- Using Amazon Neptune with AWS CloudWatch
- Using Amazon Neptune with AWS CloudTrail
Module 8. Case Studies and Best Practices: Real-world case studies of Amazon Neptune deployments
- Real-world case studies of Amazon Neptune deployments
- Best practices for designing and deploying graph databases
- Best practices for querying and optimizing graph databases
- Best practices for security and access control in graph databases