Efficiently Storing Data in S3 for Data Analytics Solutions

Lab Steps

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Logging in to the Amazon Web Services Console
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Connecting to the Virtual Machine using EC2 Instance Connect
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Transferring Data from EC2 to S3
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Partitioning Data in S3 for Use with Athena
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Converting Data Files in S3 for Use With Athena
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Compressing Data Files in S3 for Use With Athena

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h 15m
Students599
Ratings
4.5/5
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Description

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:

Updates

24th June, 2021 - Improved instructions

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About the Author
Students32474
Labs79
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Andrew is a Labs Developer with previous experience in the Internet Service Provider, Audio Streaming, and CryptoCurrency industries. He has also been a DevOps Engineer and enjoys working with CI/CD and Kubernetes.

He holds the Developer - Associate, Sysops Administrator - Associate, and Solutions Architect – Associate AWS certifications.