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AWS Instructor

This course introduces you to Amazon Neptune, the AWS service that provides a fast, reliable, fully managed graph database engine.

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This course introduces you to Amazon Neptune, the AWS service that provides a fast, reliable, fully managed graph database engine.

This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and review important terminology and technology concepts. The course includes a demonstration of Neptune and provides an assessment to help you gauge how well you understood the concepts covered.

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What's inside

Syllabus

Amazon Neptune Service Primer

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by AWS Instructor, who are recognized for their work in AWS
Introduces Amazon Neptune, a fast, reliable, fully managed graph database engine from AWS
Provides an assessment to help you gauge your understanding of the concepts covered
Covers important terminology and technology concepts related to Amazon Neptune
Introduces the service and its core features and capabilities

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Amazon Neptune Service Primer with these activities:
Review 'Fundamentals of Graph Databases' by Ian Robinson
Expand your knowledge of graph databases by reviewing a foundational book.
View Graph Databases on Amazon
Show steps
  • Read the book
  • Summarize key concepts
  • Apply concepts to Amazon Neptune
Guided Tutorial: Introduction to Amazon Neptune
Explore a tutorial to enhance your understanding of the core concepts and capabilities of Amazon Neptune.
Browse courses on Amazon Neptune
Show steps
  • Visit the Amazon Neptune documentation
  • Follow the tutorial's instructions
  • Run sample queries and explore the results
Project: Build a Recommendation System using Amazon Neptune
Create a practical project to test your abilities in building a recommendation system using Amazon Neptune.
Show steps
  • Define your project goals
  • Design your data model
  • Implement your recommendation algorithm
  • Deploy your project
  • Evaluate your results
Show all three activities

Career center

Learners who complete Amazon Neptune Service Primer will develop knowledge and skills that may be useful to these careers:
Project Manager
Project Managers are responsible for planning, coordinating, and executing projects that are designed to achieve specific goals. Amazon Neptune can provide you with valuable insights into how projects are performing and how they can be improved. This course can teach you how to use Neptune to query and analyze data, identify trends, and make decisions that will improve your projects.
Data Scientist
Data Scientists use data to solve complex business problems. Amazon Neptune can provide you with valuable insights by connecting and analyzing data from different sources. This course can teach you how to use Neptune to query and analyze data, identify trends, and build predictive models.
Business Analyst
Business Analysts provide businesses with insights by analyzing data and identifying trends. Amazon Neptune can provide you with valuable insights by connecting and analyzing data from different sources. This course can teach you how to use Neptune to query and analyze data, identify trends, and make recommendations.
Data Architect
Data Architects are responsible for designing and managing the data that is used by an organization. Amazon Neptune is a valuable tool for managing large amounts of data. By taking this course, you can learn about Neptune's features and how they can be used to design a data architecture that is scalable, reliable, and secure.
Software Engineer
Software Engineers write and maintain software that runs in a wide range of devices, from mobile phones to personal computers to enterprise servers. Amazon Neptune is a fully managed graph database service, and you may use it to store and query data in a scalable way. This course can help you become familiar with the types of data that are suitable for storage in a graph database. It can also help you make effective use of Neptune's features, such as its query engine and its integration with other AWS services.
Data Analyst
Data Analysts use data to help businesses make better decisions. Amazon Neptune can provide you with valuable insights by connecting and analyzing data from different sources. This course can help you learn how to use Neptune to query and analyze data, identify trends, and make recommendations.
Database Administrator
Database Administrators are responsible for managing, maintaining, and troubleshooting databases. Amazon Neptune is an ideal solution for managing large, complex graphs. By taking this course, you can gain the knowledge you need to manage a Neptune database effectively.
Product Manager
Product Managers are responsible for managing the development and launch of new products. Amazon Neptune can provide you with valuable insights into how customers use your products. This course can teach you how to use Neptune to query and analyze data, identify trends, and make decisions that will improve your products.
Consultant
Consultants provide advice and services to businesses. Amazon Neptune can provide you with valuable insights into how businesses operate and how they can be improved. This course can teach you how to use Neptune to query and analyze data, identify trends, and make recommendations that will help businesses succeed.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. Amazon Neptune is a managed graph database service that can help you build fast, scalable, and reliable data pipelines. This course can help you gain the knowledge you need to build and manage data pipelines using Neptune.
Entrepreneur
Entrepreneurs start and run their own businesses. Amazon Neptune can provide you with valuable insights into how to start and grow your business. This course can teach you how to use Neptune to query and analyze data, identify trends, and make decisions that will help your business succeed.
Researcher
Researchers conduct studies to gain new knowledge. Amazon Neptune can provide you with valuable insights into how to conduct research and how to make discoveries. This course can teach you how to use Neptune to query and analyze data, identify trends, and draw conclusions.
Nonprofit Manager
Nonprofit Managers plan, coordinate, and execute programs that are designed to achieve specific goals. Amazon Neptune can provide you with valuable insights into how nonprofit organizations operate and how they can be improved. This course can teach you how to use Neptune to query and analyze data, identify trends, and make decisions that will help your organization succeed.
Educator
Educators teach students at all levels. Amazon Neptune can provide you with valuable insights into how students learn and how to improve teaching methods. This course can teach you how to use Neptune to query and analyze data, identify trends, and make decisions that will improve your teaching.
Program Manager
Program Managers are responsible for planning, coordinating, and executing programs that are designed to achieve specific goals. Amazon Neptune can provide you with valuable insights into how programs are performing and how they can be improved. This course can teach you how to use Neptune to query and analyze data, identify trends, and make decisions that will improve your programs.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Amazon Neptune Service Primer.
Provides a comprehensive introduction to graph databases. The book covers the basics of graph databases, as well as how to use graph databases to solve real-world problems.
Provides a comprehensive overview of graph databases. The book covers the basics of graph databases, as well as how to use graph databases to solve real-world problems.
Provides a comprehensive introduction to combinatorial optimization. The book covers the basics of combinatorial optimization, as well as advanced topics such as approximation algorithms and network flows.
Provides a comprehensive overview of data modeling for MongoDB. It covers the basics of data modeling, as well as advanced topics such as data normalization and indexing. This book valuable resource for anyone who wants to learn more about data modeling for MongoDB.
Practical guide to MongoDB. It covers the basics of MongoDB, as well as advanced topics such as data modeling and performance tuning. This book valuable resource for anyone who wants to learn more about MongoDB.
Covers everything from Elasticsearch basics to advanced topics such as data modeling and performance tuning. This book valuable resource for anyone who wants to learn more about Elasticsearch.
Comprehensive guide to Apache Kafka. It covers the basics of Apache Kafka, as well as advanced topics such as data modeling and performance tuning. This book valuable resource for anyone who wants to learn more about Apache Kafka.
Provides a brief overview of NoSQL databases. It covers the basics of NoSQL databases, as well as advanced topics such as data modeling and performance tuning. This book valuable resource for anyone who wants to learn more about NoSQL databases.
Provides a comprehensive overview of data science. It covers the basics of data science, as well as advanced topics such as machine learning and data mining. This book valuable resource for anyone who wants to learn more about data science.
Comprehensive guide to Hadoop. It covers the basics of Hadoop, as well as advanced topics such as data modeling and performance tuning. This book valuable resource for anyone who wants to learn more about Hadoop.
Comprehensive guide to Spark. It covers the basics of Spark, as well as advanced topics such as data modeling and performance tuning. This book valuable resource for anyone who wants to learn more about Spark.

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