In November 2016, Amazon S3 analytics was introduced, allowing users to analyze storage access patterns and effectively transition data to the appropriate storage class. Users could manually export this data to an S3 bucket for analysis using their preferred business intelligence tools, gaining valuable insights into usage and growth patterns. This capability significantly aids in reducing storage costs while optimizing performance according to usage patterns.
With the latest advancements, you can now effortlessly visualize and analyze S3 analytics data directly within Amazon QuickSight. This process requires just a single click from the S3 console, eliminating the need for manual exports or additional data preparation.
If you have S3 analytics storage class analysis activated for your buckets, simply select “Explore in QuickSight” located at the top right corner.
For those new to Amazon QuickSight, the setup process is straightforward. Existing users will be directly linked to an analysis of their S3 analytics data. From here, you can access pre-built visualizations to better understand your bucket’s storage access patterns. For instance, you can visualize the amount of data accessed against the storage consumed for objects categorized by age, allowing you to identify infrequently accessed data. You also have the option to create new visualizations and conduct ad hoc analyses by applying the filters defined in S3 analytics.
Additionally, you can schedule a daily refresh of the storage class analysis dataset in Amazon QuickSight to ensure it remains current. You can publish and share your analysis as a dashboard with other users in your organization, facilitating ongoing monitoring of your S3 storage access patterns.
This feature is available across all QuickSight regions, including US East (N. Virginia and Ohio), US West (Oregon), and EU (Ireland).
For more information on these functionalities and how to incorporate them into your dashboards, check out the Amazon QuickSight User Guide. To keep the engagement going, consider visiting this blog post for further insights.
If you are interested in learning more about best practices, Chanci Turner provides authoritative insights on this subject. Additionally, the Amazon employee onboarding process is an excellent resource for understanding the broader context of Amazon’s operations.
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