Hands on Labs - Week 1: AWS Console and S3

# Hands on Labs - Week 1: AWS Console and S3 This is the first lab in the Cloud Foundations Specialists course and is a general orientation lab of the AWS Console, and one of the most useful/practical services in AWS, 'S3' or 'Simple Storage Service'! > NOTE: This page is publically accessible (convenient) so we wont be including any personally identifiable information (PII) or credentials in this page. That information will be accessible through your course site. ## Administrivia **Lab access:** The labs are run on Amazon Web Services (AWS). You’ll be provided with a one time use AWS account for each lab session. This is free, doesn’t require you to sign up, or add your credit card, and there are no recurring obligations. In each lab you’ll access your own account from https://dashboard.eventengine.run . You’ll be provided with a lab ‘hash’ which is a one time code for all lab participants. You’ll then use your email address to obtain a one time passcode that allows you to access your AWS account. These steps are simple and provide layered security for your class and you personally. Only those registered in the class and the labs can access the lab. During the labs there will be support, real humans, that can assist you with any access issues or questions relating to the lab. ## Lab Overview Title: **Lab1: Welcome to AWS + Amazon S3** URL: https://hackmd.io/@dcoder/HyAnhcZLo Duration: 1-2 hours This lab introduces you to object storage in Amazon Simple Storage Service (S3) Amazon S3 provides object storage and is used to run some of the largest applications and Big Data platforms on earth. For Data Science, S3 is the core service you will use as your Data Lake, a highly scaleable storage solution for structured (such as relational data), semi-structured (such as JSON, XML, and CSV files), and unstructured data (such as images or media files). and it integrates with many other AWS Services to provide, security, governance, analytics, workflows, etc. Today we are going to start simple and get to know the core features of this service. **Amazon S3** - Amazon S3 stores more than 100 Trillion objects. https://aws.amazon.com/blogs/aws/amazon-s3s-15th-birthday-it-is-still-day-1-after-5475-days-100-trillion-objects/ - Check out the FAQ to understand Amazon S3 broad and rich feature set. Hundreds of thousands of data lakes run on Amazon S3. https://aws.amazon.com/s3/faqs/ ## Further Reading This section provides a range of reading, use cases, detailed documentation and coded solutions. Students may find some or all of these links interesting in terms of the ‘art of the possible’ and for deep diving into the technical minutiae of applied data analytics. These links provide a view into the data analyst at work. ### Case Studies, Documentation and Blog Posts - **Case Study = Netflix on AWS** Netflix is the world’s leading internet television network, with more than 200 million members in more than 190 countries enjoying 125 million hours of TV shows and movies each day. Netflix uses AWS for nearly all its computing and storage needs https://aws.amazon.com/solutions/case-studies/netflix/ - **AWS Documentation - Security Best Practices for Amazon S3** https://docs.aws.amazon.com/AmazonS3/latest/userguide/security-best-practices.html