Storing Data on AWS

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.
Course info
Level
Intermediate
Updated
Jul 25, 2020
Duration
2h 51m
Table of contents
Course Overview
Data Storage with DynamoDB
Data Storage with Amazon S3
Other AWS Data Storage Solutions
Description
Course info
Level
Intermediate
Updated
Jul 25, 2020
Duration
2h 51m
Description

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.

About the author
About the author

Fernando works full time learning the newest trends and tools in application development in order to share them with application developers and architects. He especially enjoys helping others learn about cloud infrastructure offerings to better support the needs of developers and the organizations that they work with.

More from the author
Collecting Data on AWS
Intermediate
2h 18m
Jun 11, 2020
More courses by Fernando Medina Corey
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, everyone. My name is Fernando Medina Corey, and welcome to my course, Storing Data on AWS. I'm a cloud architect at Stormlight Consulting, and I've worked with dozens of AWS services over the years on projects ranging from data pipelines to web applications. AWS has one of the most robust cloud platforms for data analytics, and data engineers and other data professionals have some of the best career prospects in the technology industry. This course is a quick introduction to AWS data storage services and other services that integrate with them. No prior experience with AWS is required. Some of the major topics that we will cover include using Amazon DynamoDB, storing objects with the Amazon Simple Storage Service, using Amazon's database services like RDS and Redshift and other options for storing data on AWS. By the end of this course, you'll know how to use different AWS data storage technologies to suit your usage requirements and cost effectively keep your data in AWS. Before beginning this course, you may want to have a general understanding of cloud services and some programming experience, but all code samples and demos will be provided and walked through step by step. From here, you should feel comfortable diving into other AWS topics with courses on Collecting Data on AWS, An introduction to AWS Lambda, or AWS IoT the Big Picture. I hope you'll join me on this journey to learn more about AWS data technologies with the Storing Data on AWS course here, at Pluralsight.