Usage monitoring for Airflow 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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With the integration of Airflow and Secoda, users can effectively monitor the usage levels of data resources from Airflow's metadata. Apache Airflow, an open-source platform, assists in developing, scheduling, and monitoring batch-oriented workflows. It enables users to create, schedule, and monitor workflows through computer programming, making it an ideal choice for architecting and orchestrating complex data pipelines and task launches. By leveraging Secoda, this integration ensures an efficient and secure migration process.
Integration with Airflow allows you to monitor the usage levels of data resources through the Secoda Automations feature. An Automation consists of Triggers and Actions. Triggers activate the workflow based on specific schedules, such as hourly, daily, or custom intervals. These triggers create a structured framework for subsequent actions. Actions encompass various operations, like filtering and updating metadata, which can be stacked on top of each other to create detailed workflows tailored to your team's needs. By integrating with Airflow, you can perform bulk updates to metadata efficiently using Secoda.
Integration with Secoda allows for seamless data migration and monitoring of data resource usage. By utilizing Airflow and Secoda, companies can effectively manage their data catalog, lineage, documentation, and monitoring within a single data management platform. This integration enhances the efficiency and accuracy of data migration processes, providing valuable insights into data resource utilization.
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