Snowflake supports data governance and auditing when data is accessed and modified through its APIs by providing robust features and capabilities for tracking, monitoring, and controlling data access and changes. Here’s how Snowflake supports data governance and auditing through its APIs:
Auditing and Logging:
Snowflake maintains detailed audit logs of all API activities, including data access and modification operations. These logs record who performed the actions, what actions were taken, and when they occurred. Audit records can be used for compliance, security, and troubleshooting purposes.
Data Definition Language (DDL) Auditing:
Snowflake logs DDL operations performed through APIs, such as creating or altering tables, views, and schemas. This helps organizations track changes to data structures and schema evolution.
Data Manipulation Language (DML) Auditing:
DML operations like INSERT, UPDATE, DELETE, and SELECT are audited, providing a record of data changes and accesses through APIs. Users and applications are held accountable for their actions.
Snowflake allows administrators to define audit policies to specify which types of API activities should be audited. Audit policies can be configured to capture specific actions, users, and objects.
Granular Access Controls:
Snowflake’s role-based access control (RBAC) system extends to APIs, allowing for fine-grained control over data access. Administrators can define privileges and permissions to restrict what data and operations are available to specific users and roles.
Row-level security can be applied to data accessed through APIs, ensuring that users only see the data relevant to them based on user attributes or other criteria.
Data masking can be applied to sensitive data accessed via APIs, ensuring that unauthorized users do not see the full data. This helps protect data privacy and compliance.
Time-Travel and Versioning:
Audit records include information about data changes and the state of the data at different points in time. This feature is valuable for data governance and historical data access.
Data Sharing Controls:
When sharing data through APIs, data providers have control over who can access and modify the shared data. Data consumers are subject to the access controls defined by the provider, ensuring data security.
Custom Metadata and Data Cataloging:
Snowflake supports custom metadata and data cataloging, allowing organizations to document data assets, their lineage, and associated policies. This aids in data governance and compliance efforts.
Security and Compliance Certifications:
Snowflake holds certifications for various data protection and privacy regulations, ensuring that organizations can maintain compliance when using the platform’s APIs.
Data accessed through APIs is encrypted both in transit and at rest, providing an additional layer of data security.
Snowflake’s comprehensive approach to data governance and auditing ensures that organizations can track, monitor, and control data access and modifications through APIs.