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Data Governance in Data 360
Data governance provides a robust framework for securing and managing data through the combined use of tags, classifications, user attributes, and policy-based governance. Enabling policies and other governance features improves control and ensures users have access to the right data at scale.
About Data 360 Governance
Data governance is a set of rules for keeping your data safe and organized. It uses a combination of tools to make sure the right people can access the right data.
Data tagging is the process of attaching labels or metadata to data to identify and organize so it can be easily searched, filtered, and governed. Tags categorize data based on sensitivity or business relevance, and these tags form the basis for enforcing policies.
Data classification groups tags into categories based on its value, sensitivity, or regulatory requirements. For example, data can be classified as public, internal, confidential, or restricted.
Object-level security (OLS) and field-level security (FLS) policies in Data 360 are driven by tags and classifications, enabling scalable governance across a large number of objects and fields.
Data governance is scalable and automatic. When you ingest new data into Data 360, you just need to give it the correct tag. The existing rules automatically apply to it without any extra work. This makes managing data security more efficient, especially when dealing with large amounts of information.
- Get Started with Data Governance
Before using Data Governance features, it's important to review the prerequisites and the steps required to enable governance across your organization’s data. - Policy-Based Governance in Data 360
Data governance policies are rules and guidelines that define how data is accessed, used, protected, and managed. These policies help align data handling with security requirements, compliance standards, and business objectives. - Data Tagging and Classification in Data 360
Data tagging is the process of attaching labels or metadata to data assets such as objects, fields, or records to describe their content, sensitivity, or purpose. Tags help identify and organize data so it can be easily searched, filtered, and governed. - Viewing Data Relationships with Unified Lineage
Unified lineage gives you a complete view of how your data objects are connected. Use it to understand data journeys, dependencies, and the downstream impact of changes such as applying tags or updating objects
