Tag PHI in 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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Secoda is a data governance platform that enables the tagging of PHI (Protected Health Information) residing in BigQuery. By integrating Secoda with BigQuery, organizations can ensure data governance at scale, ensuring compliance with regulations and maintaining data privacy and security. This integration allows for efficient management and tracking of PHI within BigQuery, providing organizations with the necessary tools to enforce data governance policies and maintain data integrity.
Tagging PHI (Protected Health Information) in BigQuery allows healthcare organizations to classify and safeguard sensitive data within their cloud data warehouses. By using BigQuery's data classification features or custom metadata tags, teams can identify and monitor PHI, ensuring it is processed and accessed in compliance with regulatory standards. This capability enhances data governance, supports adherence to privacy laws, and facilitates the secure handling of health information, enabling responsible and compliant data analysis and storage in BigQuery's scalable environment.
The BigQuery integration allows you to tag PHI (Protected Health Information) through Secoda. An Automation consists of Triggers and Actions. Triggers activate the workflow based on specific schedules, enabling subsequent actions. Actions encompass various operations, such as filtering and updating metadata, allowing you to create customized workflows. Secoda enables bulk updates to metadata in BigQuery, providing efficient management capabilities.
Secoda, the AI data governance platform, offers integration with BigQuery. With Secoda, users can connect to various data models, databases, warehouses, and BI tools, enabling easy access and utilization of data on a large scale. Secoda consolidates data catalog, lineage, documentation, and monitoring into a unified data management platform, making it convenient for both data and business stakeholders to search and utilize data effectively.
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