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A Cloud Guru
Welcome to the **Amazon DynamoDB Data Modeling** course. In this course, you will learn: - NoSQL concepts and DynamoDB's features - How to optimize DynamoDB for: - Runtime performance - Cost - DynamoDB data modeling patterns - 1:N, N:M, hierarchical, GSI overloading, and more - Write sharding, sparse indexes, and materialized aggregations - Strategies to migrate data from RDBMS to DynamoDB You'll further solidify your learning with real-world examples and hands-on labs. By the end of this course, you'll have the necessary skills and knowledge to effectively build scalable, cost-efficient, high-performance applications using DynamoDB. Thank you for taking the course — let's get started!
Register for this course and see more details by visiting:
OpenCourser.com/course/ujdpe7/amazon
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Know what's good ,
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possible dealbreakers
Taught by A Cloud Guru, who are recognized for their work in cloud computing
Examines NoSQL concepts and DynamoDB's features, which are highly relevant to data modeling
Develops optimization techniques for runtime performance, cost, and data modeling patterns, which are core skills for building efficient and scalable DynamoDB applications
Includes hands-on labs, which provide learners with practical experience
Covers strategies for migrating data from RDBMS to DynamoDB, which is a valuable skill for real-world applications
Requires learners to come in with some prior knowledge of DynamoDB
Save this course
Save Amazon DynamoDB Data Modeling 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 Amazon DynamoDB Data Modeling with these
activities:
Review relational database concepts
Show steps
Review relational database concepts such as tables, columns, and relationships to strengthen the foundation for learning DynamoDB's data modeling techniques.
Browse courses on
Database Design
Show steps
-
Read through an article or tutorial on relational database basics
-
Take a practice quiz or solve problems involving relational data modeling
Review NoSQL concepts
Show steps
Review the basic principles of NoSQL databases and the key features of DynamoDB.
Browse courses on
NoSQL
Show steps
-
Read the DynamoDB documentation
-
Watch introductory videos on NoSQL and DynamoDB
-
Take a practice quiz on NoSQL concepts
Solve DynamoDB practice problems
Show steps
Solve practice problems and take quizzes to reinforce understanding and identify areas for improvement in DynamoDB data modeling.
Show steps
-
Find DynamoDB practice problems or quizzes online
-
Attempt to solve the problems independently
-
Review your answers and learn from your mistakes
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow DynamoDB tutorials
Show steps
Follow online tutorials to gain hands-on experience with DynamoDB.
Show steps
-
Find a tutorial on DynamoDB data modeling
-
Follow the tutorial step-by-step
-
Create a DynamoDB table and insert some data
Complete DynamoDB Labs
Show steps
Follow guided tutorials and complete hands-on labs provided by Amazon or third-party resources to reinforce understanding and gain practical experience in DynamoDB data modeling.
Show steps
-
Choose a DynamoDB Lab and set up your environment
-
Follow the step-by-step instructions in the lab
-
Review the results and troubleshoot any issues
Practice DynamoDB data modeling
Show steps
Practice designing and implementing DynamoDB data models for different use cases.
Show steps
-
Identify a use case for a DynamoDB table
-
Design a data model for the use case
-
Implement the data model in DynamoDB
-
Test the data model
Design a DynamoDB data model for a sample application
Show steps
Create a DynamoDB data model for a sample application to apply and solidify the data modeling patterns and techniques learned in the course.
Show steps
-
Identify the entities and relationships in the sample application
-
Choose appropriate DynamoDB table designs and partition keys
-
Create a visual representation or written description of your data model
Create a DynamoDB data modeling blog post
Show steps
Write a blog post about a DynamoDB data modeling project you completed.
Show steps
-
Choose a DynamoDB data modeling topic
-
Write the blog post
-
Publish the blog post
Attend a DynamoDB meetup
Show steps
Network with other DynamoDB users and learn about the latest trends.
Show steps
-
Find a DynamoDB meetup near you
-
Register for the meetup
-
Attend the meetup
Attend a DynamoDB workshop
Show steps
Learn about advanced DynamoDB features and best practices from experts.
Show steps
-
Find a DynamoDB workshop
-
Register for the workshop
-
Attend the workshop
Volunteer on a DynamoDB project
Show steps
Gain real-world experience by working on a DynamoDB project for a non-profit organization.
Show steps
-
Find a non-profit organization that uses DynamoDB
-
Contact the organization and offer to volunteer
-
Work on the DynamoDB project
Review relational database concepts
Show steps
Review relational database concepts such as tables, columns, and relationships to strengthen the foundation for learning DynamoDB's data modeling techniques.
Browse courses on
Database Design
Show steps
Show steps
Show steps
- Read through an article or tutorial on relational database basics
- Take a practice quiz or solve problems involving relational data modeling
Review NoSQL concepts
Show steps
Review the basic principles of NoSQL databases and the key features of DynamoDB.
Browse courses on
NoSQL
Show steps
Show steps
Show steps
- Read the DynamoDB documentation
- Watch introductory videos on NoSQL and DynamoDB
- Take a practice quiz on NoSQL concepts
Solve DynamoDB practice problems
Show steps
Solve practice problems and take quizzes to reinforce understanding and identify areas for improvement in DynamoDB data modeling.
Show steps
Show steps
Show steps
- Find DynamoDB practice problems or quizzes online
- Attempt to solve the problems independently
- Review your answers and learn from your mistakes
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow DynamoDB tutorials
Show steps
Follow online tutorials to gain hands-on experience with DynamoDB.
Show steps
Show steps
Show steps
- Find a tutorial on DynamoDB data modeling
- Follow the tutorial step-by-step
- Create a DynamoDB table and insert some data
Complete DynamoDB Labs
Show steps
Follow guided tutorials and complete hands-on labs provided by Amazon or third-party resources to reinforce understanding and gain practical experience in DynamoDB data modeling.
Show steps
Show steps
Show steps
- Choose a DynamoDB Lab and set up your environment
- Follow the step-by-step instructions in the lab
- Review the results and troubleshoot any issues
Practice DynamoDB data modeling
Show steps
Practice designing and implementing DynamoDB data models for different use cases.
Show steps
Show steps
Show steps
- Identify a use case for a DynamoDB table
- Design a data model for the use case
- Implement the data model in DynamoDB
- Test the data model
Design a DynamoDB data model for a sample application
Show steps
Create a DynamoDB data model for a sample application to apply and solidify the data modeling patterns and techniques learned in the course.
Show steps
Show steps
Show steps
- Identify the entities and relationships in the sample application
- Choose appropriate DynamoDB table designs and partition keys
- Create a visual representation or written description of your data model
Create a DynamoDB data modeling blog post
Show steps
Write a blog post about a DynamoDB data modeling project you completed.
Show steps
Show steps
Show steps
- Choose a DynamoDB data modeling topic
- Write the blog post
- Publish the blog post
Attend a DynamoDB meetup
Show steps
Network with other DynamoDB users and learn about the latest trends.
Show steps
Show steps
Show steps
- Find a DynamoDB meetup near you
- Register for the meetup
- Attend the meetup
Attend a DynamoDB workshop
Show steps
Learn about advanced DynamoDB features and best practices from experts.
Show steps
Show steps
Show steps
- Find a DynamoDB workshop
- Register for the workshop
- Attend the workshop
Volunteer on a DynamoDB project
Show steps
Gain real-world experience by working on a DynamoDB project for a non-profit organization.
Show steps
Show steps
Show steps
- Find a non-profit organization that uses DynamoDB
- Contact the organization and offer to volunteer
- Work on the DynamoDB project
Career center
Learners who complete Amazon DynamoDB Data Modeling will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A Data Architect is responsible for designing, developing, and maintaining data systems. Successful Data Architects need to have a strong understanding of data modeling and database technologies. The Amazon DynamoDB Data Modeling course can help build a foundation in data modeling and provide the skills necessary to succeed as a Data Architect. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Data Architects design and implement scalable, cost-efficient, and high-performance data systems.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining database systems. They need to have a strong understanding of database technologies and data modeling. The Amazon DynamoDB Data Modeling course can provide the skills necessary to succeed as a Database Administrator. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Database Administrators design and implement scalable, cost-efficient, and high-performance database systems.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines. They need to have a strong understanding of data modeling, database technologies, and data processing tools. The Amazon DynamoDB Data Modeling course can provide the skills necessary to succeed as a Data Engineer. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Data Engineers design and implement data pipelines that are scalable, cost-efficient, and high-performance.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing and documenting business requirements. They need to have a strong understanding of business processes and technologies. The Amazon DynamoDB Data Modeling course may be useful for Business Analysts who are working on projects that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Business Analysts understand the technical requirements of projects and communicate them to technical team members.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They need to have a strong understanding of software development principles and technologies. The Amazon DynamoDB Data Modeling course may be useful for Software Engineers who are working on applications that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Software Engineers design and implement software applications that are scalable, cost-efficient, and high-performance.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to extract insights. They need to have a strong understanding of data analysis techniques and technologies. The Amazon DynamoDB Data Modeling course may be useful for Data Analysts who are working on projects that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Data Analysts understand the technical requirements of projects and design data analysis solutions that are scalable, cost-efficient, and high-performance.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and implementing cloud computing solutions. They need to have a strong understanding of cloud computing technologies and services. The Amazon DynamoDB Data Modeling course may be useful for Cloud Architects who are working on projects that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Cloud Architects design and implement cloud computing solutions that are scalable, cost-efficient, and high-performance.
Systems Analyst
Systems Analyst
Systems Analysts are responsible for analyzing and designing business systems. They need to have a strong understanding of business processes and technologies. The Amazon DynamoDB Data Modeling course may be useful for Systems Analysts who are working on systems that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Systems Analysts design and implement business systems that are scalable, cost-efficient, and high-performance.
IT Architect
IT Architect
IT Architects are responsible for designing and implementing IT systems. They need to have a strong understanding of IT technologies and services. The Amazon DynamoDB Data Modeling course may be useful for IT Architects who are working on systems that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help IT Architects design and implement IT systems that are scalable, cost-efficient, and high-performance.
Software Architect
Software Architect
Software Architects are responsible for designing and implementing software applications. They need to have a strong understanding of software development principles and technologies. The Amazon DynamoDB Data Modeling course may be useful for Software Architects who are working on applications that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Software Architects design and implement software applications that are scalable, cost-efficient, and high-performance.
Database Developer
Database Developer
Database Developers are responsible for designing and developing database systems. They need to have a strong understanding of database technologies and data modeling. The Amazon DynamoDB Data Modeling course may be useful for Database Developers who are working on systems that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Database Developers design and implement database systems that are scalable, cost-efficient, and high-performance.
Project Manager
Project Manager
Project Managers are responsible for planning, organizing, and executing projects. They need to have a strong understanding of project management principles and technologies. The Amazon DynamoDB Data Modeling course may be useful for Project Managers who are working on projects that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Project Managers understand the technical requirements of projects and manage them effectively.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects are responsible for designing and implementing data warehouses. They need to have a strong understanding of data warehouse technologies and data modeling. The Amazon DynamoDB Data Modeling course may be useful for Data Warehouse Architects who are working on data warehouses that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Data Warehouse Architects design and implement data warehouses that are scalable, cost-efficient, and high-performance.
Data Scientist
Data Scientist
Data Scientists are responsible for analyzing data to extract insights. They need to have a strong understanding of data analysis techniques and technologies. The Amazon DynamoDB Data Modeling course may be useful for Data Scientists who are working on projects that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Data Scientists understand the technical requirements of projects and design data analysis solutions that are scalable, cost-efficient, and high-performance.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for building and maintaining machine learning models. They need to have a strong understanding of machine learning algorithms and technologies. The Amazon DynamoDB Data Modeling course may be useful for Machine Learning Engineers who are working on projects that use DynamoDB. The course covers topics such as NoSQL concepts, DynamoDB's features, and DynamoDB data modeling patterns. This knowledge can help Machine Learning Engineers understand the technical requirements of projects and design machine learning models that are scalable, cost-efficient, and high-performance.
For more career information including salaries, visit:
OpenCourser.com/course/ujdpe7/amazon
Reading list
We've selected eight 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 DynamoDB Data Modeling.
Provides a comprehensive overview of data-intensive applications. It covers a wide range of topics, including data modeling, performance tuning, and best practices. It's an excellent resource for anyone looking to build scalable and high-performance data-intensive applications.
Provides a comprehensive overview of microservices. It covers a wide range of topics, including data modeling, performance tuning, and best practices. It's an excellent resource for anyone looking to build scalable and high-performance microservices.
Provides a comprehensive overview of CouchDB. It covers a wide range of topics, including data modeling, performance tuning, and best practices. It's an excellent resource for anyone looking to build scalable and high-performance applications using CouchDB.
Save
Provides a comprehensive overview of MongoDB. It covers a wide range of topics, including data modeling, performance tuning, and best practices. It's an excellent resource for anyone looking to build scalable and high-performance applications using MongoDB.
Comprehensive guide to Hadoop. It covers everything from the basics of Hadoop to advanced topics like data processing and machine learning.
Comprehensive guide to Spark. It covers everything from the basics of Spark to advanced topics like data processing and machine learning.
Comprehensive guide to Elasticsearch. It covers everything from the basics of Elasticsearch to advanced topics like data indexing and search.
Comprehensive guide to Cassandra. It covers everything from the basics of Cassandra to advanced topics like data modeling and performance tuning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ujdpe7/amazon
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Time
465 hours
Level
Graduate
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Good to know
Taught by A Cloud Guru, who are recognized for their work in cloud computing
Examines NoSQL concepts and DynamoDB's features, which are highly relevant to data modeling
Develops optimization techniques for runtime performance, cost, and data modeling patterns, which are core skills for building efficient and scalable DynamoDB applications
Includes hands-on labs, which provide learners with practical experience
Covers strategies for migrating data from RDBMS to DynamoDB, which is a valuable skill for real-world applications
Requires learners to come in with some prior knowledge of DynamoDB
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