AWS announces the general availability of Amazon S3 Metadata, the easiest and fastest way to discover and understand your Amazon S3 data. S3 Metadata provides automated and easily queried metadata that updates in near real time, simplifying business analytics, real-time inference applications, and more. S3 Metadata supports object metadata, which includes system-defined details like size and the source of the object, and custom metadata, which allows you to use tags to annotate your objects with information like product SKU, transaction ID, or content rating.
S3 Metadata automatically captures metadata from objects as they are uploaded into a bucket and makes that metadata queryable in a read-only table. As data in your bucket changes, S3 Metadata updates the table within minutes to reflect the latest changes. These metadata tables are stored in Amazon S3 Tables, storage optimized for tabular data. The S3 Tables integration with AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize data—including S3 Metadata tables—using AWS analytics services such as Amazon Athena, Amazon Data Firehose, Amazon EMR, Amazon QuickSight, and Amazon Redshift. Additionally, S3 Metadata integrates with Amazon Bedrock, allowing for the annotation of AI-generated videos with metadata that specifies its AI origin, creation timestamp, and the specific model used for its generation.
S3 Metadata is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon).
For pricing details, visit the Amazon S3 pricing page. To learn more, visit the Amazon S3 Metadata overview page, documentation, and AWS News Blog.
Source:: Amazon AWS