Usage monitoring for Amazon Glue 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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Amazon Glue is a data integration service provided by Amazon Web Services (AWS). It helps users discover, prepare, and combine data from different sources for analytics, machine learning, and application development. With features like a data catalog, no-code ETL jobs, and data quality management, AWS Glue simplifies the process of integrating data. It also includes AWS Glue DataBrew, a visual data preparation tool that allows users to clean and normalize data without coding. By using AWS Glue, one can analyze and categorize data, and it seamlessly integrates with other AWS services like Amazon Athena and Amazon S3. In the context of monitoring data resource usage and metadata from Amazon Glue through Secoda, the goal is to ensure a smooth and secure migration process.
Integration with Amazon Glue in Secoda allows for the monitoring of data resource usage levels through the Automations feature. Automations consist of Triggers and Actions, where Triggers activate the workflow based on specified schedules. This provides a structured framework for triggering subsequent actions. Actions encompass a range of operations such as filtering and updating metadata. By stacking actions, detailed workflows can be created to meet the specific needs of your team. Additionally, Secoda enables bulk updates to metadata in Amazon Glue.
Secoda and Amazon Glue can be integrated to facilitate data migration and monitor data resource usage levels. Secoda acts as a centralized platform for managing data catalog, lineage, documentation, and monitoring. By combining the capabilities of Secoda and Amazon Glue, organizations can efficiently migrate data while also gaining insights into the usage of their data resources.
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