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Secoda's integration with BigQuery allows for automated tagging of frequently accessed assets, helping to streamline data management processes. By identifying the most used assets, Secoda enables you to prioritize maintenance efforts and ensure that your data literacy and enablement practices remain scalable and up-to-date. With this integration, you can save valuable time and optimize your data management practices efficiently.
Integration refers to the process of connecting different software systems to work together seamlessly. One such integration is with BigQuery, a data source used to store and analyze large datasets. With Secoda, an automation platform, you can automatically tag your frequently used assets in BigQuery. This ensures that your data literacy and enablement practices are scalable and up-to-date. By leveraging Triggers and Actions, you can create custom workflows with specific schedules to activate the automation. Actions include various operations, such as updating metadata and filtering data. Secoda allows you to perform bulk updates to metadata in BigQuery, saving you time and improving efficiency in managing your data assets.
Secoda, a comprehensive data management platform, aims to consolidate and organize your company's data catalog, lineage, documentation, and monitoring. By integrating BigQuery, users can leverage the scalability offered by combining these tools. This integration enables more efficient data literacy and enables practices that promote better understanding and utilization of data within a company.
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