Usage monitoring for Great Expectations 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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Secoda provides a platform for monitoring the usage levels of data resources from Great Expectations, an open-source Python library. This integration helps ensure an efficient and safe migration by enabling data teams to validate and document the acceptable state of their data. By leveraging Secoda, users can easily track and manage the quality of their data, promoting collaboration and consistency within their projects. This integration supports the seamless integration of Great Expectations into existing workflows, allowing for comprehensive data quality testing and profiling.
Secoda's Automations feature allows users to monitor their data resource usage levels effectively. An Automation consists of Triggers and Actions that activate workflows within the system. Users have the flexibility to define triggers based on specific schedules, such as hourly, daily, or customized intervals, ensuring a structured framework for subsequent actions. Actions encompass a wide range of operations, including filtering and updating metadata, allowing users to create detailed workflows that meet their team's specific requirements. Additionally, Secoda enables users to perform bulk updates to metadata in Great Expectations, streamlining the process of managing data resources efficiently.
Secoda and Great Expectations can be integrated to facilitate data migration and monitor the usage levels of data resources. Secoda acts as a central hub for your company's data knowledge, bringing together data catalog, lineage, documentation, and monitoring into one platform. By incorporating Great Expectations into the integration, you can enhance the monitoring capabilities and ensure the smooth migration of data resources.
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