Tag PHI in Delta Lake with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.
Get startedDelta Lake is an open-source storage layer that enables the storage of data and tables in a Lakehouse architecture. It integrates with Apache Spark, providing additional functionalities like ACID transactions, scalable metadata handling, and data skipping with Z-order indexes. By using Secoda, PHI (Protected Health Information) can be tagged within Delta Lake, ensuring data governance at scale.
Implementing PHI (Protected Health Information) tagging in Delta Lake enables organizations to categorize and manage sensitive healthcare data within their storage and ETL processes. By utilizing metadata tagging in Delta Lake, teams can ensure that PHI data is clearly identified, making it easier to apply appropriate access controls, audit trails, and compliance measures. This approach enhances the security and governance of PHI, facilitating responsible data usage and maintaining the trust required for handling health information within Delta Lake's robust data architecture.
Delta Lake integration with Secoda allows you to tag PHI (Protected Health Information) through automated workflows. The integration consists of two parts: Triggers and Actions. Triggers activate the workflow based on predefined schedules, such as hourly, daily, or custom intervals. Actions encompass various operations, including filtering and updating metadata. By stacking actions, you can create customized workflows to meet your team's requirements. With Secoda, you can efficiently perform bulk updates to metadata in Delta Lake.
Integration with Delta Lake is a key feature of Secoda, the AI data governance platform. Secoda connects to various data models, databases, warehouses, and BI tools, enabling easy access and utilization of data on a large scale. It 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 company data effectively.