Govern data with rules for access and sharing

The following tutorial will show you how to create a governed catalog, manage your resources, define a governance policy, and automatically enforce rules, all using Data Catalog.

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Define rules to govern and access your data

Your data scientists need access to data, but emerging regulations create a difficult balance between compliance and efficiency. Data Science Experience makes it easy to organize resources to achieve your data analysis goal. It’s here that you can add or remove collaborators, change their permissions, and receive notifications about any changes in your projects.

How do I protect my company’s sensitive data, but give select access to the right teams at the right time?

How do I make data more easily searchable so individuals can proactively find what they need?

What can help me ensure that I’m up to date on data regulations and governance policies?

Chief data officer: Responsible for data governance, analytics initiatives, and monetizing data by acting on insights.

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Use Data Catalog to share and govern data with confidence

As more team members request access to data, managing the various sources and permissions can be difficult. Watson Data Platform provides an integrated platform for purposes of both efficiency and compliance. Your data scientists can quickly find and share data to collaborate on projects, and you can govern and enforce data access with policies to protect sensitive information from unauthorized access.

The democratization and sharing of data does not compromise data governance. In fact, the greater transparency and automated enforcement of governance policies will give CDOs more control than ever before. All team members can collaborate with confidence with governance-infused projects and catalogs that provide access to the right data at the right time. Additionally, the governance dashboard will offer CDOs an aggregated view of enforcement across an organization, including requests for access and usage of assets. These rules and policies can be easily adjusted to keep up with ongoing governance updates.

Governance tutorial

Give the right people the right access to data

Catalogs are containers of various types of assets that can be shared among catalog members. You can create different catalogs to curate assets that can be easily searched and shared with targeted members for different purposes. When you find data in the catalog that you want to use, you add the data asset into your analytics environment. IBM Data Catalog will also offer automated, real-time classification and enforcement of governance policies. This eliminates a major obstacle to scaling up the size and use of data management systems.

When creating a catalog, you can set it up as either a governed catalog or an ungoverned catalog. With a governed catalog, data assets are protected from unauthorized access according to governance policies and rules. For example, a policy can be written to allow only certain members to access a data asset that contains national IDs, such as Social Security numbers. When a member who is not allowed access tries to view the data in the catalog, access is blocked by the platform because the policy is enforced. Data assets in ungoverned catalogs are not subject to governance policies.

Step 1: Create a governed catalog in Data Catalog

After launching Data Catalog, the data engineer creates a governed catalog to protect data assets from unauthorized access. After the catalog is created, collaborators can be added to the catalog on the access control page.

Step 2: Add data assets to the catalog

Now that the governed catalog is created, you can add two types of assets — local files or connected data. Whenever a data asset is added, it’s automatically profiled and classified as part of the governance framework. Watson Data Platform surfaces the rules you should have in place to protect your data and recommends policies to enforce those rules based on the composition of each data set.

With connectors to more than 30 data repositories, including on-prem and cloud, you can catalog data of all types.

Step 3: Define a governance policy

Next, access the policy manager to define and activate rules for users on the team. This provides the capabilities to manage and control access to sensitive data and to keep a history of data access.

Step 4: Automatically enforce governance rules

Since some of the data includes sensitive personal information, you’ll need to specify conditions and limits access to the appropriate users by creating new rules in the policy manager.

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