Usage monitoring for BigQuery 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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In order to ensure a seamless and secure migration process, the usage levels of data resources and metadata from BigQuery can be effectively monitored through Secoda. BigQuery is a serverless and fully managed enterprise data warehouse offered by Google Cloud. It supports various data types, operates across multiple clouds, and provides built-in machine learning and business intelligence capabilities. BigQuery leverages SQL and follows a pay-as-you-go model, making it a reliable choice for efficient and cost-effective data integration.
The integration with BigQuery 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 based on predefined schedules, such as hourly, daily, or custom intervals. This helps create a structured framework for triggering subsequent actions. Actions encompass various operations, including filtering and updating metadata. You can chain multiple actions together to create detailed workflows that align with your team's requirements. With Secoda, you can also perform bulk updates to metadata in BigQuery.
Secoda, a data management platform, can be integrated with BigQuery to facilitate data migration and monitor data resource usage levels. By consolidating your company's data catalog, lineage, documentation, and monitoring functionalities, Secoda serves as an index of your data knowledge. This integration allows for efficient data management and tracking within BigQuery.
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