Efficiently Storing Data in S3 for Data Analytics Solutions

Amazon S3 is a fully managed service for storing data in the cloud. Amazon S3 frees you from managing servers, NAS/SAN devices, and from having to worry about individual physical disks.

Amazon S3 is very flexible and because of that, it is used in a large number of different types of solutions. When building a solution in AWS and you need storage, S3 is likely the best option when considering cost and performance. If you are using S3 with AWS Data Analytics services, there are a number of things you should be aware of to minimize costs and maximize the performance of your Data Analytics solution.

In this lab, you will create data, store it in S3, and transform the data to be more performant and cost-efficient.

Learning Objectives

Upon completion of this beginner level lab you will be able to:

• Use the AWS command-line tool to copy data from an EC2 instance to S3
• Partition data files in S3
• Compress data to reduce costs
• Convert data into different formats to reduce costs and maximize performance

Intended Audience

• Candidates for the AWS Certified Data Analytics Speciality exam
• Data Engineers
• Cloud Engineers

Prerequisites

Experience with S3 and the Linux command-line will be beneficial but is not required.

The following courses can be used to fulfill the prerequisites:

• Linux Command Line Byte Session
• Introduction to S3

Updates

March 12th, 2023 - Resolved an issue that caused the lab to fail to set up on rare occasions

January 11th, 2023 - Updated screenshots & instructions to reflect latest UI

October 26th, 2022 - Resolved an issue preventing lab setup from completing

January 28th, 2022 - Updated the instructions and screenshots to reflect the latest UI

June 24th, 2021 - Improved instructions