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AWS
This course introduces you to the fully managed graph database service, Amazon Neptune, and covers graph models, graph use cases, and how Amazon Neptune can be leveraged to build highly connected applications.
This course introduces you to the fully managed graph database service, Amazon Neptune, and covers graph models, graph use cases, and how Amazon Neptune can be leveraged to build highly connected applications.
Register for this course and see more details by visiting:
OpenCourser.com/course/atfvdc/building
What's inside
Syllabus
Building Highly Connected Applications using Amazon Neptune
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for learners with no experience in graph databases
Provides a solid foundation for building highly connected applications using Amazon Neptune
Instructors are from AWS, ensuring the course is up-to-date with industry practices
Course is highly relevant to those working with graph databases or looking to build highly connected applications
May require additional resources for learners with no prior experience in graph databases
Save this course
Save Building Highly Connected Applications using Amazon Neptune to your list so you can find it easily later:
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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 Building Highly Connected Applications using Amazon Neptune with these
activities:
Read 'Graph Databases: A Practical Introduction' by Ian Robinson
Show steps
Gain a comprehensive understanding of the fundamental concepts of graph databases as a supplement to the course material.
View
Graph Databases: New Opportunities for...
on Amazon
Show steps
-
Acquire a copy of the book.
-
Read the chapters relevant to the course material.
-
Take notes and highlight important concepts.
-
Discuss the book's insights with classmates or colleagues.
Read 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Reinforce the course concepts of graph data modeling and data management at scale by reading an expert's take on these topics.
View
Secret Colors
on Amazon
Show steps
-
Acquire a copy of the book.
-
Read the chapters relevant to the course material.
-
Take notes and highlight important concepts.
-
Discuss the book's insights with classmates or colleagues.
Join a study group for the course
Show steps
Enhance your understanding of the course material by discussing concepts and working on problems with peers.
Show steps
-
Find a group of classmates who are also taking the course.
-
Set up regular meeting times.
-
Review course material together.
-
Work on assignments and projects collaboratively.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a mind map of graph database use cases
Show steps
Improve your understanding of the practical applications of graph databases by creating a visual representation of their use cases.
Show steps
-
Brainstorm a list of graph database use cases.
-
Organize the use cases into categories or themes.
-
Create a mind map using a tool like MindMeister or XMind.
-
Share your mind map with others for feedback.
Solve graph database problems on LeetCode
Show steps
Sharpen your graph database problem-solving skills by practicing on a platform like LeetCode.
Browse courses on
Graph Algorithms
Show steps
-
Create a LeetCode account.
-
Filter problems by the 'Graph' tag.
-
Attempt to solve the problems using graph algorithms.
-
Review your solutions and learn from your mistakes.
Design a graph database schema for a specific application
Show steps
Apply the concepts of graph data modeling to a real-world scenario by designing a schema for a specific application.
Browse courses on
Data Modeling
Show steps
-
Identify the requirements of the application.
-
Choose an appropriate graph database model (property graph, RDF, etc.).
-
Design the schema, including nodes, relationships, and properties.
-
Document the schema using a tool like ERDPlus or Lucidchart.
Build a small-scale graph database application
Show steps
Solidify your understanding of graph databases by building a practical application that leverages their capabilities.
Show steps
-
Identify a problem or use case that can benefit from a graph database solution.
-
Design the database schema and choose an appropriate graph database.
-
Develop the application using a language and framework that supports graph databases (e.g., Python with Neo4j).
-
Deploy and test the application.
Read 'Graph Databases: A Practical Introduction' by Ian Robinson
Show steps
Gain a comprehensive understanding of the fundamental concepts of graph databases as a supplement to the course material.
View
Graph Databases: New Opportunities for...
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of the book.
- Read the chapters relevant to the course material.
- Take notes and highlight important concepts.
- Discuss the book's insights with classmates or colleagues.
Read 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Reinforce the course concepts of graph data modeling and data management at scale by reading an expert's take on these topics.
View
Secret Colors
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of the book.
- Read the chapters relevant to the course material.
- Take notes and highlight important concepts.
- Discuss the book's insights with classmates or colleagues.
Join a study group for the course
Show steps
Enhance your understanding of the course material by discussing concepts and working on problems with peers.
Show steps
Show steps
Show steps
- Find a group of classmates who are also taking the course.
- Set up regular meeting times.
- Review course material together.
- Work on assignments and projects collaboratively.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a mind map of graph database use cases
Show steps
Improve your understanding of the practical applications of graph databases by creating a visual representation of their use cases.
Show steps
Show steps
Show steps
- Brainstorm a list of graph database use cases.
- Organize the use cases into categories or themes.
- Create a mind map using a tool like MindMeister or XMind.
- Share your mind map with others for feedback.
Solve graph database problems on LeetCode
Show steps
Sharpen your graph database problem-solving skills by practicing on a platform like LeetCode.
Browse courses on
Graph Algorithms
Show steps
Show steps
Show steps
- Create a LeetCode account.
- Filter problems by the 'Graph' tag.
- Attempt to solve the problems using graph algorithms.
- Review your solutions and learn from your mistakes.
Design a graph database schema for a specific application
Show steps
Apply the concepts of graph data modeling to a real-world scenario by designing a schema for a specific application.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Identify the requirements of the application.
- Choose an appropriate graph database model (property graph, RDF, etc.).
- Design the schema, including nodes, relationships, and properties.
- Document the schema using a tool like ERDPlus or Lucidchart.
Build a small-scale graph database application
Show steps
Solidify your understanding of graph databases by building a practical application that leverages their capabilities.
Show steps
Show steps
Show steps
- Identify a problem or use case that can benefit from a graph database solution.
- Design the database schema and choose an appropriate graph database.
- Develop the application using a language and framework that supports graph databases (e.g., Python with Neo4j).
- Deploy and test the application.
Career center
Learners who complete Building Highly Connected Applications using Amazon Neptune will develop knowledge and skills
that may be useful to these careers:
Application Developer
Application Developer
Application Developers can enhance their skills by taking this course, which focuses on the use of Amazon Neptune, a graph database service, for building highly connected applications. By understanding graph models and use cases, Application Developers can design and implement applications that effectively leverage Neptune's capabilities.
Database Administrator
Database Administrator
Database Administrators can enhance their skillset by taking this course, which focuses on the fully managed graph database service, Amazon Neptune. By understanding graph models and use cases, Database Administrators can effectively manage and optimize Neptune databases for highly connected applications.
Solution Architect
Solution Architect
Solution Architects can enhance their skillset by taking this course, which focuses on the use of Amazon Neptune, a graph database service, for building highly connected applications. By understanding graph models and use cases, Solution Architects can design and implement effective solutions that leverage Neptune's capabilities.
Architect
Architect
This course provides Architects with a solid foundation in leveraging Amazon Neptune, a graph database service, for building highly connected applications. By learning about graph models and use cases, Architects can design and implement scalable and efficient architectures that utilize Neptune's capabilities.
Software Engineer
Software Engineer
Software Engineers can leverage this course to gain an understanding of building highly connected applications using Amazon Neptune. It will provide a foundation in graph models and use cases, enabling Software Engineers to design and develop complex applications that require interconnected data management.
Big Data Engineer
Big Data Engineer
Big Data Engineers can enhance their skills by taking this course, which covers the use of Amazon Neptune, a graph database service, for building highly connected applications. Understanding graph models and use cases can enable Big Data Engineers to effectively manage and analyze large-scale interconnected data.
Data Architect
Data Architect
Data Architects can benefit from this course as it provides an overview of Amazon Neptune, a graph database service, and its use cases in building highly connected applications. This knowledge can help Data Architects design and manage data architectures that effectively leverage graph technologies.
Data Scientist
Data Scientist
Data Scientists can benefit from this course as it introduces Amazon Neptune, a graph database service. Graph models and use cases will be discussed, providing Data Scientists with the foundational knowledge to leverage Neptune for data exploration, analysis, and predictive modeling.
Data Engineer
Data Engineer
This course can provide Data Engineers with an introduction to leveraging Amazon Neptune, a fully managed graph database service, for building highly connected applications. Graph models and use cases will be discussed, equipping aspiring Data Engineers with the necessary knowledge to build and manage graph-based systems.
Data Analyst
Data Analyst
Data Analysts can gain valuable insights from this course as it covers the use of Amazon Neptune, a graph database service, for building highly connected applications. By understanding graph models and use cases, Data Analysts can effectively analyze and interpret complex interconnected data.
Product Manager
Product Manager
Product Managers can benefit from this course by gaining an understanding of how Amazon Neptune, a graph database service, can be used to build highly connected applications. This knowledge can help Product Managers create and manage products that effectively leverage graph technologies to meet user needs.
Business Analyst
Business Analyst
Business Analysts can benefit from this course as it covers the use of Amazon Neptune, a graph database service, for building highly connected applications. By understanding graph models and use cases, Business Analysts can gain insights into complex interconnected data and make informed recommendations to stakeholders.
Technical Writer
Technical Writer
This course may be helpful for Technical Writers who need to create documentation or materials related to graph databases, such as Amazon Neptune. By understanding graph models and use cases, Technical Writers can accurately convey technical concepts and effectively communicate the benefits and applications of graph technologies.
Information Security Analyst
Information Security Analyst
This course may be helpful for Information Security Analysts who are looking to explore the use of graph databases, such as Amazon Neptune, for security applications. By understanding graph models and use cases, Information Security Analysts can gain insights into potential threats and vulnerabilities in interconnected systems.
Project Manager
Project Manager
This course may be helpful for Project Managers who are involved in projects that require the use of graph databases, such as Amazon Neptune. By gaining an understanding of graph models and use cases, Project Managers can effectively manage and coordinate projects related to highly connected applications.
For more career information including salaries, visit:
OpenCourser.com/course/atfvdc/building
Reading list
We've selected six 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
Building Highly Connected Applications using Amazon Neptune.
Save
Provides a comprehensive overview of graph databases, covering the fundamentals of graph modeling, algorithms, and applications. It would be a great resource for learners who want to gain a deeper understanding of the concepts and techniques used in Amazon Neptune.
Save
Provides a practical introduction to graph databases, including topics such as graph data modeling, query languages, and performance optimization. It valuable resource for anyone looking to learn more about the basics of graph databases.
Provides a comprehensive introduction to graph algorithms, including topics such as graph traversal, shortest path algorithms, and maximum flow algorithms.
Offers a practical guide to working with graph databases. It covers a range of topics, including data modeling, querying, and performance optimization. While it focuses on Neo4j, the concepts and techniques discussed are applicable to Amazon Neptune as well.
Explores the use of the R programming language for network analysis. While not specifically about graph databases, it provides valuable insights into graph data manipulation, visualization, and analysis techniques, which can be applied to working with Amazon Neptune.
Save
Offers a comprehensive introduction to graph theory, providing a solid foundation for understanding the mathematical underpinnings of graph databases.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/atfvdc/building
Share
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Time
29 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Suitable for learners with no experience in graph databases
Provides a solid foundation for building highly connected applications using Amazon Neptune
Instructors are from AWS, ensuring the course is up-to-date with industry practices
Course is highly relevant to those working with graph databases or looking to build highly connected applications
May require additional resources for learners with no prior experience in graph databases
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