Exploring your AWS data in Amazon Quick Suite - Amazon Quick Suite

Exploring your AWS data in Amazon Quick Suite

   Applies to: Enterprise Edition and Standard Edition 
   Intended audience: System administrators 

Use this section to learn how to explore AWS data in Amazon Quick Suite using the AWS Management Console. Using the Explore in Amazon Quick Sight shortcut, you can access a customizable dashboard template showing your data. Just as with any Amazon Quick Sight dashboard, this dashboard can be refreshed on a schedule, published, and shared with other users in your organization.

To use this feature, you must first enable Amazon S3 analytics storage class analysis for your Amazon S3 buckets. For more on enabling storage class analysis in Amazon S3, see Amazon Amazon S3 analytics – Storage class analysis in the Amazon Amazon S3 Developer Guide.

After you have enabled storage class analysis, you can use Amazon Quick Suite to explore your Amazon S3 analytics data.

To explore Amazon S3 analytics data in Amazon Quick Suite

  1. Open the Amazon S3 console at https://console.aws.amazon.com/s3/.

  2. Choose a bucket to explore. The bucket must have storage class analysis enabled, with at least one filter.

  3. Choose the Management tab.

  4. Then choose Analytics.

  5. Choose Explore in QuickSight.

    Note

    If you don't have an Amazon Quick Suite account, you're prompted to create one before you can use the dashboard.

When you choose the option to explore in Amazon Quick Suite, your Amazon S3 analytics data is automatically loaded into the dashboard template. The dashboard contains multiple visualizations to help you to understand the storage access pattern of your bucket.

Use the template as is, or customize it to suit your needs. For example, one visual on the default template helps you identify infrequently accessed data. It compares the amount of data retrieved to the amount of storage consumed, for objects of different ages.

You can also add your own visualizations to the dashboard. For example, you can break down the data access patterns, using filters for storage class analysis that you already have defined in Amazon S3 analytics.

To learn more about using S3 analytics and storage class analysis, see Amazon Amazon S3 analytics – Storage class analysis in the Amazon Amazon S3 Developer Guide.