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Fernando Medina Corey
AWS has some of the most reputable cloud data storage infrastructure available on the market today. This course will teach you how to leverage different AWS storage services in accordance with your storage needs and access patterns.
Read more
AWS has some of the most reputable cloud data storage infrastructure available on the market today. This course will teach you how to leverage different AWS storage services in accordance with your storage needs and access patterns.
Read more
AWS has some of the most reputable cloud data storage infrastructure available on the market today. This course will teach you how to leverage different AWS storage services in accordance with your storage needs and access patterns.
When working with software applications you will always need a place to store the data you generate. In this course, Storing Data on AWS, you'll learn to select the best AWS storage technology for your needs. First, you’ll explore how and when to leverage Amazon DynamoDB for low-latency, highly-scalable data storage and access patterns. Next, you'll discover how to use Amazon S3 for both file and data storage. Finally, you'll learn how to analyze different use cases for these services as well as other services that might play a role in the larger data storage picture. When you’re finished with this course, you’ll have the skills and knowledge of AWS data storage technologies needed to effectively design data-storage solutions on AWS.
Register for this course and see more details by visiting:
OpenCourser.com/course/22kn27/storing
What's inside
Syllabus
Course Overview
Data Storage with DynamoDB
Data Storage with Amazon S3
Other AWS Data Storage Solutions
Read more
Syllabus
Course Overview
Data Storage with DynamoDB
Data Storage with Amazon S3
Other AWS Data Storage Solutions
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for students new to AWS data storage solutions
Strengthens an existing foundation for intermediate-level students seeking to further enhance their AWS data storage skills
Save this course
Save Storing Data on AWS 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 Storing Data on AWS with these
activities:
Attend an AWS User Group meeting
Show steps
Attending an AWS User Group meeting will connect you with other AWS enthusiasts and learn about new trends and best practices.
Show steps
-
Find an AWS User Group meeting in your area
-
Attend the meeting and introduce yourself
-
Share your knowledge and experience with other members
Review core DynamoDB concepts
Show steps
Reviewing core DynamoDB concepts will prepare you to think in terms of key-value storage and design your storage strategy around it.
Show steps
Review S3 concepts
Show steps
Reviewing S3 concepts will prepare you to think in terms of object storage and design your storage strategy around it.
Browse courses on
Object Storage
Show steps
Four other activities
Expand to see all activities and additional details
Show all seven activities
Use AWS Management Console to manage DynamoDB
Show steps
Using AWS Management Console to manage DynamoDB will familiariez you with another way of interacting with the service.
Browse courses on
AWS Management Console
Show steps
-
Create a new table using the AWS Management Console
-
Modify the table's schema and provisioned capacity
-
Monitor the table's metrics and performance
Use Amazon S3 Glacier for long-term storage
Show steps
Using Amazon S3 Glacier for long-term storage will introduce you to a cost-effective way to store data for long periods.
Show steps
-
Create an S3 Glacier vault using the AWS CLI
-
Upload objects to the vault
-
Monitor the vault's storage usage and costs
Build a NoSQL database using DynamoDB
Show steps
Creating a database will help you understand the practical aspects and implementation of DynamoDB.
Browse courses on
DynamoDB
Show steps
-
Set up your AWS account and create a DynamoDB table
-
Insert and retrieve data from your DynamoDB table
-
Update and delete data from your DynamoDB table
-
Handle data consistency and availability
Design a storage solution for a hypothetical application
Show steps
Designing a storage solution for a hypothetical application will help you apply your knowledge of AWS storage services.
Show steps
-
Identify the data requirements of the application
-
Research and select the appropriate AWS storage services
-
Design a storage architecture diagram
-
Write a technical document describing your design
Attend an AWS User Group meeting
Show steps
Attending an AWS User Group meeting will connect you with other AWS enthusiasts and learn about new trends and best practices.
Show steps
Show steps
Show steps
- Find an AWS User Group meeting in your area
- Attend the meeting and introduce yourself
- Share your knowledge and experience with other members
Review core DynamoDB concepts
Show steps
Reviewing core DynamoDB concepts will prepare you to think in terms of key-value storage and design your storage strategy around it.
Show steps
Show steps
Show steps
Review S3 concepts
Show steps
Reviewing S3 concepts will prepare you to think in terms of object storage and design your storage strategy around it.
Browse courses on
Object Storage
Show steps
Show steps
Show steps
Four other activities
Expand to see all activities and additional details
Show all seven activities
Use AWS Management Console to manage DynamoDB
Show steps
Using AWS Management Console to manage DynamoDB will familiariez you with another way of interacting with the service.
Browse courses on
AWS Management Console
Show steps
Show steps
Show steps
- Create a new table using the AWS Management Console
- Modify the table's schema and provisioned capacity
- Monitor the table's metrics and performance
Use Amazon S3 Glacier for long-term storage
Show steps
Using Amazon S3 Glacier for long-term storage will introduce you to a cost-effective way to store data for long periods.
Show steps
Show steps
Show steps
- Create an S3 Glacier vault using the AWS CLI
- Upload objects to the vault
- Monitor the vault's storage usage and costs
Build a NoSQL database using DynamoDB
Show steps
Creating a database will help you understand the practical aspects and implementation of DynamoDB.
Browse courses on
DynamoDB
Show steps
Show steps
Show steps
- Set up your AWS account and create a DynamoDB table
- Insert and retrieve data from your DynamoDB table
- Update and delete data from your DynamoDB table
- Handle data consistency and availability
Design a storage solution for a hypothetical application
Show steps
Designing a storage solution for a hypothetical application will help you apply your knowledge of AWS storage services.
Show steps
Show steps
Show steps
- Identify the data requirements of the application
- Research and select the appropriate AWS storage services
- Design a storage architecture diagram
- Write a technical document describing your design
Career center
Learners who complete Storing Data on AWS will develop knowledge and skills
that may be useful to these careers:
Big Data Engineer
Big Data Engineer
Big Data Engineers may use AWS data storage services to design and implement big data solutions. This course can help them learn how to use these services effectively.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers may use AWS data storage services to design and implement machine learning solutions. This course can help them learn how to use these services effectively.
Network Engineer
Network Engineer
Network Engineers may use AWS data storage services to design and implement network solutions. This course can help them learn how to use these services effectively.
IT Architect
IT Architect
IT Architects may use AWS data storage services to design and implement IT solutions. This course can help them learn how to use these services effectively.
Systems Engineer
Systems Engineer
Systems Engineers may use AWS data storage services to design and implement complex systems. This course can help them learn how to use these services effectively.
Data Analyst
Data Analyst
A Data Analyst might utilize the services taught in this course to design better database storage solutions for their analysis. The course will orient the Data Analyst to an industry standard toolset which can help them grow their career.
Database Administrator
Database Administrator
Database Administrators will find this course useful for learning how to manage AWS data storage services, which can be used to store and manage databases.
Cloud Architect
Cloud Architect
Cloud Architects may use AWS data storage services to design and implement cloud-based solutions. This course can help them learn how to use these services effectively.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers may use AWS data storage services to design and implement data warehouse solutions. This course can help them learn how to use these services effectively.
Cloud Engineer
Cloud Engineer
Cloud Engineers may use AWS data storage services to build and manage cloud-based solutions. This course can help them learn how to use these services effectively.
IT Manager
IT Manager
IT Managers may use AWS data storage services to manage their IT infrastructure. This course can help them learn how to use these services effectively.
Security Engineer
Security Engineer
Security Engineers may use AWS data storage services to design and implement security solutions. This course can help them learn how to use these services effectively.
Software Engineer
Software Engineer
Software Engineers may use AWS data storage services to store data for their applications. This course can help them learn how to use these services effectively.
Data Engineer
Data Engineer
A Data Engineer might need to use AWS for their work, and this course can introduce them to a new set of tools to use on the job.
Data Scientist
Data Scientist
Data Scientists often need to store data in the cloud for their projects. This course can help Data Scientists learn how to properly store and manage their data.
For more career information including salaries, visit:
OpenCourser.com/course/22kn27/storing
Reading list
We've selected ten 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
Storing Data on AWS.
Provides a comprehensive guide to using Amazon S3, one of the most popular AWS storage services. It covers everything from creating and managing buckets to optimizing performance and security.
Save
Provides a comprehensive overview of the principles and patterns for designing and building data-intensive applications. It covers a wide range of topics, from data modeling to data storage and retrieval.
Provides a practical introduction to NoSQL databases, including Amazon DynamoDB. It covers the basics of NoSQL data modeling and how to choose the right NoSQL database for your needs.
Save
Provides a comprehensive overview of cloud computing, including a chapter on AWS. It covers the basics of cloud computing, as well as more advanced topics such as security and compliance.
Comprehensive study guide for the AWS Certified Solutions Architect exam. It covers all of the topics covered on the exam, including data storage.
Provides a practical introduction to AWS, including a chapter on data storage. It covers the basics of using AWS, as well as more advanced topics such as security and performance.
Provides a comprehensive overview of cloud computing, including AWS. It covers a wide range of topics, from the basics of cloud computing to more advanced topics such as security and compliance.
Provides a practical guide to building serverless applications with AWS. It covers all of the major AWS serverless services, including Lambda, DynamoDB, and S3.
Provides a practical guide to deep learning with Python. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks and recurrent neural networks.
Provides a practical guide to natural language processing with Python. It covers a wide range of topics, from text preprocessing to machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/22kn27/storing
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Time
171 hours
Level
Intermediate
Via
Pluralsight
Instructor
Fernando Medina Corey
Language
English
Good to know
Builds a strong foundation for students new to AWS data storage solutions
Strengthens an existing foundation for intermediate-level students seeking to further enhance their AWS data storage skills
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