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Travis Thomsen
In this course, *Building Serverless Apps in AWS with Graph Databases*, you’ll learn to deploy a serverless application using Neptune as the database. First, you’ll explore the basics of working with a graph database. Next, you’ll discover to deploy a Neptune stack using serverless. Finally, you’ll learn how to deploy an application and API stack using serverless that communicates with Neptune. When you’re finished with this course, you’ll have the skills and knowledge on how to use Neptune and apply it to your applications.
Register for this course and see more details by visiting:
OpenCourser.com/course/0uuuya/building
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Examines Neptune, which is a recommended option for building graph-intensive applications in AWS
Teaches deployment of a serverless application using Neptune as the database
Builds a strong foundation for beginners in the use of Neptune for serverless applications
Taught by Travis Thomsen, an industry expert in the field of graph databases
May require prior knowledge of serverless architectures
May require prior experience with AWS services
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Activities
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your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Building Serverless Apps in AWS with Graph Databases with these
activities:
Course Materials Organizer
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Stay organized and improve your learning by compiling your course materials.
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Create a dedicated folder for the course
-
Download all the course materials
-
Organize the materials into subfolders
Review of Python Basics
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Brush up on your Python skills before taking this course to ensure you have a strong foundation.
Browse courses on
Python
Show steps
-
Review the Python documentation
-
Take a Python practice quiz
Find a Neptune Mentor
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Reach out to a professional or experienced individual who is knowledgeable about Neptune to help you stay motivated and enhance your learning.
Show steps
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Search online for potential mentors
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Attend industry events or conferences
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Ask for introductions from your colleagues
Five other activities
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Graph Databases: Theory, Algorithms, and Applications
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Reading an in-depth book on graph databases will greatly improve your understanding of the concepts and techniques covered in this course.
View
Graph Databases
on Amazon
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-
Purchase the book
-
Read the book
AWS Immersion Day: Neptune
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Participate in an in-person or virtual hands-on workshop focused on Neptune.
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Register for the event
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Attend the workshop
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Follow along with the hands-on exercises
Neptune Query Playground
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Practice your Neptune graph querying in order to improve your understanding of Neptune's capabilities as a database.
Show steps
-
Visit the Neptune Query Playground
-
Explore the sample data
-
Execute different queries
Neptune Blog Post
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Create a blog post to summarize what you've learned in this course about Neptune.
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Brainstorm topic ideas
-
Do research and gather information
-
Write the blog post
-
Publish your blog post
AWS Neptune Challenge
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Participate in the AWS Neptune Challenge to test your skills and learn from other participants.
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-
Register for the challenge
-
Develop your solution
-
Submit your solution
Course Materials Organizer
Show steps
Stay organized and improve your learning by compiling your course materials.
Show steps
Show steps
Show steps
- Create a dedicated folder for the course
- Download all the course materials
- Organize the materials into subfolders
Review of Python Basics
Show steps
Brush up on your Python skills before taking this course to ensure you have a strong foundation.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review the Python documentation
- Take a Python practice quiz
Find a Neptune Mentor
Show steps
Reach out to a professional or experienced individual who is knowledgeable about Neptune to help you stay motivated and enhance your learning.
Show steps
Show steps
Show steps
- Search online for potential mentors
- Attend industry events or conferences
- Ask for introductions from your colleagues
Five other activities
Expand to see all activities and additional details
Show all eight activities
Graph Databases: Theory, Algorithms, and Applications
Show steps
Reading an in-depth book on graph databases will greatly improve your understanding of the concepts and techniques covered in this course.
View
Graph Databases
on Amazon
Show steps
Show steps
Show steps
- Purchase the book
- Read the book
AWS Immersion Day: Neptune
Show steps
Participate in an in-person or virtual hands-on workshop focused on Neptune.
Show steps
Show steps
Show steps
- Register for the event
- Attend the workshop
- Follow along with the hands-on exercises
Neptune Query Playground
Show steps
Practice your Neptune graph querying in order to improve your understanding of Neptune's capabilities as a database.
Show steps
Show steps
Show steps
- Visit the Neptune Query Playground
- Explore the sample data
- Execute different queries
Neptune Blog Post
Show steps
Create a blog post to summarize what you've learned in this course about Neptune.
Show steps
Show steps
Show steps
- Brainstorm topic ideas
- Do research and gather information
- Write the blog post
- Publish your blog post
AWS Neptune Challenge
Show steps
Participate in the AWS Neptune Challenge to test your skills and learn from other participants.
Show steps
Show steps
Show steps
- Register for the challenge
- Develop your solution
- Submit your solution
Career center
Learners who complete Building Serverless Apps in AWS with Graph Databases will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
A Software Engineer holding an advanced degree, such as this course, would be a strong candidate for work involving serverless applications. Serverless has become increasingly important in the tech industry, and new innovations have made these applications more powerful. Specifically, advancements in graph databases, like the Neptune database used in this course, have given Software Engineers a way to easily query data with complex relationships. This course would help build a foundation for Software Engineers who want to develop these kinds of applications.
Data Scientist
Data Scientist
Similar to Software Engineers, Data Scientists can use this course to learn about advancements in graph databases and serverless application architecture. Advanced graph databases, like Neptune, make it possible to ask complex questions about data. This gives Data Scientists unparalleled insight into their data, which can be highly valuable for a business. This course would provide a Data Scientist with a crucial depth of knowledge that would make them a more competitive candidate for jobs that involve working with graph databases.
Solutions Architect
Solutions Architect
A Solutions Architect would benefit from the skills and knowledge provided by this course. Graph databases have a unique set of advantages that can be harnessed to solve problems that relational databases cannot. This course can provide Solutions Architects with an understanding of the strengths and weaknesses of graph databases. In turn, this will help them in recommending the best possible solution for a client's needs. This course will provide a Solutions Architect with the knowledge needed to make the right decision in their next consulting role.
Database Administrator
Database Administrator
A Database Administrator deals with the installation, configuration, maintenance, and performance-tuning of databases. This course would help a Database Administrator understand how to install, configure, and maintain Neptune, a graph database service provided by AWS. This course would also help a Database Administrator understand the performance tuning options available to increase the performance of their database while reducing latency. This knowledge would make a Database Administrator a desirable candidate when applying for jobs.
DevOps Engineer
DevOps Engineer
A DevOps Engineer would gain valuable knowledge from this course. The cloud-based, serverless implementation of graph databases simplifies DevOps processes considerably. In this course, students will get experience deploying a Neptune stack using serverless and learn to build a continuous integration and continuous delivery (CI/CD) pipeline. With the knowledge and skills learned in this course, a DevOps Engineer will be able to optimize their workflow and increase their efficiency.
Data Analyst
Data Analyst
A Data Analyst may find this course helpful as it teaches students how to build serverless applications using graph databases. This course could be especially helpful for Data Analysts who want to be able to query and analyze data with complex relationships. Graph databases offer a great way to explore connections between data points, and this course will teach students how to use Neptune, a graph database service provided by AWS, to do just that.
IT Consultant
IT Consultant
This course can be helpful for an IT Consultant who wants to learn more about graph databases and serverless applications. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and recommendation engines. Serverless applications are also becoming more popular, as they offer a number of benefits over traditional architectures. This course will provide IT Consultants with the skills and knowledge needed to advise their clients on these technologies.
Cloud Architect
Cloud Architect
This course will be useful for those looking to become Cloud Architects. Graph databases are becoming increasingly popular for use in the cloud, and serverless applications are a great way to take advantage of the benefits of the cloud. This course will teach Cloud Architects how to deploy a Neptune stack using serverless and how to build a continuous integration and continuous delivery (CI/CD) pipeline. With the knowledge and skills learned in this course, a Cloud Architect will be able to design and implement scalable, reliable, and cost-effective cloud-based solutions.
Software Developer
Software Developer
This course would be a great fit for Software Developers who want to learn how to build serverless applications using graph databases. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and recommendation engines. Serverless applications are also becoming more popular, as they offer a number of benefits over traditional architectures. This course will provide Software Developers with the skills and knowledge needed to develop these kinds of applications.
Data Engineer
Data Engineer
This course could be helpful for those looking to become Data Engineers. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and recommendation engines. Serverless applications are also becoming more popular, as they offer a number of benefits over traditional architectures. This course will teach Data Engineers how to deploy a Neptune stack using serverless and how to build a continuous integration and continuous delivery (CI/CD) pipeline. With the knowledge and skills learned in this course, a Data Engineer will be able to design and implement scalable, reliable, and cost-effective data pipelines.
Systems Analyst
Systems Analyst
This course will provide Systems Analysts with the skills and knowledge needed to understand the benefits and limitations of graph databases. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and recommendation engines. This course will teach Systems Analysts how graph databases can be used to solve complex business problems.
Technical Architect
Technical Architect
This course may be useful for Technical Architects who want to learn how to build serverless applications using graph databases. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and recommendation engines. Serverless applications are also becoming more popular, as they offer a number of benefits over traditional architectures. This course will provide Technical Architects with the skills and knowledge needed to design and implement these kinds of applications.
Business Analyst
Business Analyst
This course may be useful for Business Analysts who want to learn how to use graph databases to solve business problems. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and recommendation engines. This course will provide Business Analysts with the skills and knowledge needed to understand the benefits and limitations of graph databases and how to use them to solve complex business problems.
Data Architect
Data Architect
This course may be useful for Data Architects who want to learn how to use graph databases to design and implement data-intensive applications. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and recommendation engines. This course will provide Data Architects with the skills and knowledge needed to understand the benefits and limitations of graph databases and how to use them to design and implement scalable, reliable, and cost-effective data-intensive applications.
Information Security Analyst
Information Security Analyst
This course may be useful for Information Security Analysts who want to learn how to use graph databases to detect and prevent security breaches. Graph databases are becoming increasingly popular for use cases such as fraud detection, social network analysis, and intrusion detection. This course will provide Information Security Analysts with the skills and knowledge needed to understand the benefits and limitations of graph databases and how to use them to detect and prevent security breaches.
For more career information including salaries, visit:
OpenCourser.com/course/0uuuya/building
Reading list
We've selected five 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 Serverless Apps in AWS with Graph Databases.
Save
Covers the basics of graph databases. It provides an extensive overview of graph database theory, concepts, and techniques and hence can be used for both background knowledge and as an additional reference.
Covers advanced topics in large-scale graph processing, including algorithms, systems, and applications. It explores techniques for handling the challenges of processing massive graph datasets and provides insights into the latest developments in the field.
Explores the architecture of knowledge, focusing on the role of networks and systems in organizing and representing knowledge. It offers insights into the theoretical foundations and practical applications of knowledge representation and management, which are relevant to the use of graph databases.
Covers advanced techniques for analyzing large-scale datasets using Apache Spark. It provides practical guidance on topics such as graph processing, machine learning, and real-time data analysis, making it a valuable resource for data scientists and engineers.
Provides a more advanced look at graph databases, focusing on how to build data-intensive applications. It covers topics such as data modeling, query optimization, and distributed systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0uuuya/building
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Time
330 hours
Level
Advanced
Via
Pluralsight
Instructor
Travis Thomsen
Language
English
Good to know
Examines Neptune, which is a recommended option for building graph-intensive applications in AWS
Teaches deployment of a serverless application using Neptune as the database
Builds a strong foundation for beginners in the use of Neptune for serverless applications
Taught by Travis Thomsen, an industry expert in the field of graph databases
May require prior knowledge of serverless architectures
May require prior experience with AWS services
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