What does the Amazon Neptune course cover?
Amazon Neptune is covered here in 10 modules: Introduction to Amazon Neptune, Getting Started with Amazon Neptune, Data Modeling and Schema Design and 7 more. The outline lists 29 specific topics, opening with Overview of Amazon Neptune : Introduction to Amazon Neptune and its features. and closing with certification : Certification upon completion of the course, issued by The Art of Service..
How do you approach Amazon Neptune step by step?
The work is sequenced in 10 stages. It starts with Introduction to Amazon Neptune, moves through Getting Started with Amazon Neptune and Data Modeling and Schema Design, and ends at Final Project and Certification. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Amazon Neptune course?
Module 1 is Introduction to Amazon Neptune. It works through Overview of Amazon Neptune : Introduction to Amazon Neptune and its features., Benefits of Using Amazon Neptune : Benefits of using Amazon Neptune, including scalability, security, and performance. and use Cases for Amazon Neptune : Real-world use cases for Amazon Neptune, including social media, recommendation engines, and knowledge graphs..
How is the Amazon Neptune course delivered?
The 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 Amazon Neptune course cost?
The 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, Graph Databases with Amazon Neptune, The Data Engineer's Course on Building Governance.
More answers: what you get with every course, refund policy, all help answers.
Mastering Amazon Neptune: A Step-by-Step Guide to Implementing Graph Database Solutions
Course Overview
This comprehensive course is designed to help you master Amazon Neptune, a fully managed graph database service provided by Amazon Web Services (AWS). With this course, you will learn how to implement graph database solutions and gain hands-on experience with real-world applications.Course Features
- Interactive and Engaging: The course is designed to be interactive and engaging, with hands-on projects and bite-sized lessons.
- Comprehensive and Personalized: The course covers all aspects of Amazon Neptune, from the basics to advanced topics, and is personalized to meet your needs.
- Up-to-date and Practical: The course is up-to-date and practical, with real-world applications and examples.
- High-quality Content: The course content is of high quality, with expert instructors and a comprehensive curriculum.
- Certification: Participants receive a certificate upon completion, issued by The Art of Service.
- Flexible Learning: The course is flexible and can be taken at your own pace, with lifetime access to the course materials.
- User-friendly and Mobile-accessible: The course is user-friendly and mobile-accessible, making it easy to learn on the go.
- Community-driven: The course is community-driven, with a community of learners and instructors who can provide support and guidance.
- Actionable Insights: The course provides actionable insights and hands-on experience, making it easy to apply what you learn to real-world situations.
- Gamification and Progress Tracking: The course includes gamification and progress tracking features, making it fun and engaging to learn.
Course Outline
Module 1: Introduction to Amazon Neptune
- Overview of Amazon Neptune: Introduction to Amazon Neptune and its features.
- Benefits of Using Amazon Neptune: Benefits of using Amazon Neptune, including scalability, security, and performance.
- Use Cases for Amazon Neptune: Real-world use cases for Amazon Neptune, including social media, recommendation engines, and knowledge graphs.
Module 2: Getting Started with Amazon Neptune
- Setting up Amazon Neptune: Step-by-step guide to setting up Amazon Neptune, including creating a cluster and configuring security.
- Connecting to Amazon Neptune: How to connect to Amazon Neptune using various programming languages and tools.
- Basic Queries and Operations: Basic queries and operations in Amazon Neptune, including creating, reading, updating, and deleting data.
Module 3: Data Modeling and Schema Design
- Data Modeling Fundamentals: Fundamentals of data modeling, including entities, relationships, and attributes.
- Schema Design Best Practices: Best practices for designing a schema in Amazon Neptune, including data types, indexes, and constraints.
- Case Study: Designing a Social Media Schema: Case study on designing a social media schema in Amazon Neptune.
Module 4: Querying and Indexing
- Querying Fundamentals: Fundamentals of querying in Amazon Neptune, including query syntax and query optimization.
- Indexing and Query Performance: How indexing affects query performance in Amazon Neptune, including types of indexes and indexing strategies.
- Case Study: Optimizing Queries for a Recommendation Engine: Case study on optimizing queries for a recommendation engine in Amazon Neptune.
Module 5: Advanced Topics
- Transactions and Locking: Transactions and locking in Amazon Neptune, including isolation levels and concurrency control.
- Full-Text Search and NLP: Full-text search and natural language processing (NLP) in Amazon Neptune, including text indexing and entity recognition.
- Case Study: Building a Knowledge Graph: Case study on building a knowledge graph in Amazon Neptune.
Module 6: Security and Access Control
- Security Fundamentals: Fundamentals of security in Amazon Neptune, including authentication, authorization, and encryption.
- Access Control and IAM: Access control and identity and access management (IAM) in Amazon Neptune, including roles, policies, and permissions.
- Case Study: Implementing Security and Access Control: Case study on implementing security and access control in Amazon Neptune.
Module 7: Performance Optimization and Monitoring
- Performance Optimization Fundamentals: Fundamentals of performance optimization in Amazon Neptune, including query optimization and indexing.
- Monitoring and Logging: Monitoring and logging in Amazon Neptune, including metrics, logs, and alerts.
- Case Study: Optimizing Performance for a Social Media Platform: Case study on optimizing performance for a social media platform in Amazon Neptune.
Module 8: Migration and Integration
- Migration Fundamentals: Fundamentals of migration in Amazon Neptune, including data migration and schema migration.
- Integration with Other AWS Services: Integration with other AWS services, including Amazon S3, Amazon DynamoDB, and Amazon Lambda.
- Case Study: Migrating a Relational Database to Amazon Neptune: Case study on migrating a relational database to Amazon Neptune.
Module 9: Best Practices and Troubleshooting
- Best Practices for Amazon Neptune: Best practices for using Amazon Neptune, including data modeling, query optimization, and security.
- Troubleshooting Common Issues: Troubleshooting common issues in Amazon Neptune, including query errors, indexing issues, and performance problems.
- Case Study: Troubleshooting a Slow Query: Case study on troubleshooting a slow query in Amazon Neptune.
Module 10: Final Project and Certification
- Final Project: Final project that applies the concepts and skills learned throughout the course.
- Certification: Certification upon completion of the course, issued by The Art of Service.