In this video, we cover the IAM policies and bucket policies

Both are used in Amazon S3 to control access to resources. However, they differ in their scope and granularity of control.

IAM policies are used to control access at the user, group or role level, and apply across an entire AWS account. IAM policies define what actions a user or group can take on specific AWS resources, including S3 buckets and objects. They are useful for granting permissions to individuals or groups with specific roles, such as developers or administrators. IAM policies can also be used to enforce multi-factor authentication and other security measures.

Bucket policies, on the other hand, are used to control access at the bucket or object level. They are attached to a specific S3 bucket and define which principals (users, groups, or roles) have access to the bucket and what actions they can perform on the objects within the bucket. Bucket policies are useful for granting access to resources to external parties, such as contractors or customers, without giving them access to the entire AWS account.

Bucket policies are more granular than IAM policies, as they allow you to define specific permissions for individual buckets or objects within a bucket. This can be useful for controlling access to sensitive data or enforcing compliance regulations. However, bucket policies can be more complex to manage than IAM policies, especially in large organizations with many users and resources.

Overall, both IAM policies and bucket policies are important tools for controlling access to Amazon S3 resources. Choosing the right policy type depends on the level of granularity and scope of control needed for your specific use case.

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AWS S3
Amazon S3
AWS Certified Data Analytics Specialty
AWS Certified Data Analytics – Specialty (DAS-C01) Exam Guide
AWS Big Data
AWS Data Engineer
AWS Data Analytics
AWS

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