Usage monitoring for AWS S3 with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.
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Integration with AWS S3 allows users to monitor the usage levels of data resources and metadata. Amazon S3, part of Amazon Web Services (AWS), is an object storage service used for storing and protecting data for various purposes, such as data lakes, websites, mobile applications, and backup and restore. With an object storage architecture, data is organized into buckets, each identified by a unique user-assigned key. Amazon S3 provides management features for optimizing and organizing data and can be accessed using the AWS SDKs. This integration ensures an efficient and safe migration process.
The integration with AWS S3 allows you to monitor the usage levels of data resources through the Secoda Automations feature. Automations consist of Triggers and Actions. Triggers activate the workflow, and you can set specific schedules for them, such as hourly, daily, or custom. Actions encompass various operations like filtering and updating metadata, which can be stacked to create tailored workflows for your team's requirements. Additionally, you can benefit from bulk updates to metadata in AWS S3 with Secoda.
Secoda is a data management platform that consolidates your company's data catalog, lineage, documentation, and monitoring into a single platform. It integrates with AWS S3 to facilitate data migration and monitor the usage levels of data resources.
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