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  1. To store your data in Amazon S3, you work with resources known as buckets and objects. A bucket is a container for objects. An object is a file and any metadata that describes that file. To store an object in Amazon S3, you create a bucket and then upload the object to a bucket.

  2. Before you can store data in Amazon S3, you must create a bucket. Note. For more information about using the Amazon S3 Express One Zone storage class with directory buckets, see What is S3 Express One Zone? and Directory buckets. Note. You are not charged for creating a bucket.

  3. What is an Amazon S3 bucket? An Amazon S3 bucket is a public cloud storage resource available in Amazon Web Services ( AWS) Simple Storage Service ( S3) platform. It provides object-based storage, where data is stored inside S3 buckets in distinct units called objects instead of files.

  4. Every object in Amazon S3 is stored in a bucket. Before you can store data in Amazon S3, you must create an S3 bucket. Start building with AWS. Now that you've created a bucket, you're ready to add an object to it. An object can be any kind of file: a text file, a photo, a video, and so on.

  5. To upload your data to Amazon S3, you must first create an Amazon S3 bucket in one of the AWS Regions. When you create a bucket, you must choose a bucket name and Region. You can optionally choose other storage management options for the bucket.

  6. Accessing and listing an Amazon S3 bucket. To list and access your Amazon S3 buckets, you can use various tools. Review the following tools to determine which approach fits your use case: Amazon S3 console: With the Amazon S3 console, you can easily access a bucket and modify the bucket's properties.

  7. Storage management. With S3 bucket names, prefixes, object tags, and S3 Inventory, you have a range of ways to categorize and report on your data, and subsequently can configure other S3 features to take action. Whether you store thousands of objects or a billion, S3 Batch Operations makes it simple to manage your data in Amazon S3 at any scale.

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