Usage monitoring for Mode 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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To monitor the usage levels of data resources and metadata from Mode Analytics through Secoda, integration will be implemented. This integration will provide a way to analyze and share data faster by combining SQL, R, Python, and visual analytics in one place. Users will be able to connect to the data, query and analyze it using a SQL editor or Python notebook, and create scalable and interactive reports. Additionally, viewers will have the ability to modify the data returned by a report using parameters, making the reports more versatile. This integration aims to ensure an efficient and safe migration process.
Integration with Mode allows you to monitor the usage levels of data resources through the Secoda Automations feature. An Automation in Secoda consists of two parts: Triggers and Actions. Triggers activate the workflow based on specific schedules, such as hourly, daily, or custom intervals. Actions encompass various operations, such as filtering and updating metadata. By stacking actions, you can create detailed workflows that cater to your team's requirements. This integration enables you to perform bulk updates to metadata in Mode, providing a streamlined approach for managing your data resources.
Secoda and Mode can be integrated to facilitate data migration and monitoring of data resource usage levels. By leveraging Secoda, which acts as a comprehensive index for a company's data knowledge, organizations can consolidate their data catalog, lineage, documentation, and monitoring functionalities into a single data management platform. This integration enables efficient data migration and provides insights into the usage levels of data resources.
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