AWS Certified Machine Learning: Amazon S3 Simple Storage Service

Amazon Web Services    |    Intermediate
  • 12 videos | 22m 44s
  • Includes Assessment
  • Earns a Badge
Rating 4.1 of 30 users Rating 4.1 of 30 users (30)
Amazon Simple Storage Service (S3) is widely used for many machine learning applications. Using Amazon S3, you can quickly and easily run machine learning algorithms on large databases using remote machines. In this course, you'll explore the various data formats Amazon S3 uses for machine learning pipelines. You'll then examine several Amazon S3 services in detail, looking at their use cases, workflows, and features. You'll also learn about the vital Amazon S3 functionalities related to security and access management and data storage, archiving, and analytics. When you've finished this course, you'll be able to outline how Amazon S3 is used for machine learning tasks, taking you one step closer to being fully prepared for the AWS Certified Machine Learning - Specialty exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe what amazon s3 is used for and its main benefits
    Describe how to categorize data in amazon s3 using buckets, partitions, and tags
    Define the use cases of amazon storage lens and name its main features and workflows
    Define the use cases of amazon intelligent tiering and name its main features and workflows
    Define the use cases of amazon access points and name its main features and workflows
  • Define the use cases of amazon batch operations and name its main features and workflows
    Define the use cases of amazon block public access and name its main features and workflows
    Work with the amazon s3 management console to create buckets and use storage lens, intelligent-tiering, access points, replication, and batch operations
    Name major use cases of amazon s3 and specify its role as the foundation for any data-related functionality of aws
    Describe how global businesses are using amazon s3 to tackle real-world problems
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 12s
  • 2m 52s
    Upon completion of this video, you will be able to describe what Amazon S3 is used for and its main benefits. FREE ACCESS
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    3.  Amazon S3 Organization
    2m 35s
    During this video, you will learn how to categorize data in Amazon S3 using buckets, partitions, and tags. FREE ACCESS
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    4.  Amazon S3 Features: Storage Lens
    1m 27s
    What are the main features and workflows of Amazon Storage Lens? FREE ACCESS
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    5.  Amazon S3 Features: Intelligent Tiering
    2m 59s
    Learn how to define the use cases of Amazon Intelligent Tiering and name its main features and workflows. FREE ACCESS
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    6.  Amazon S3 Features: Access Points
    1m 27s
    In this video, you will learn how to define the use cases of Amazon Access Points and name its main features and workflows. FREE ACCESS
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    7.  Amazon S3 Features: Batch Operations
    1m 50s
    During this video, you will learn how to define the use cases of Amazon Batch Operations and name its main features and workflows. FREE ACCESS
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    8.  Amazon S3 Features: Block Public Access
    1m 7s
    In this video, you will learn how to define the use cases of Amazon Block Public Access and its main features and workflows. FREE ACCESS
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    9.  Working with the Amazon S3 Management Console
    4m 7s
    Discover how to work with the Amazon S3 Management Console to create buckets and use Storage Lens, Intelligent-Tiering, Access Points, Replication, and Batch Operations. FREE ACCESS
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    10.  Amazon S3 Use Cases: Archives, Data Lakes, Analytics
    1m 9s
    In this video, you will name major use cases of Amazon S3 and specify its role as the foundation for any data-related functionality of AWS. FREE ACCESS
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    11.  Amazon S3 Case Studies
    1m 19s
    After completing this video, you will be able to describe how global businesses are using Amazon S3 to solve real-world problems. FREE ACCESS
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    12.  Course Summary
    43s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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