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Storing Data on AWS

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.

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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.

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What's inside

Syllabus

Course Overview
Data Storage with DynamoDB
Data Storage with Amazon S3
Other AWS Data Storage Solutions
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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

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Activities

Coming soon We're preparing activities for Storing Data on AWS. These are activities you can do either before, during, or after a course.

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 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 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 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 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 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
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 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 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 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 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 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 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 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
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 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.

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.
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.
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 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.

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