:Data Governance Center

Limits

• Limits on editions

  Only DataWorks Enterprise Edition or a more advanced edition supports Data Governance Center. For information about DataWorks editions, see Differences among DataWorks editions. For information about how to activate DataWorks, see Purchase guide.

• Limits on regions

  Data Governance Center is available in the following regions: China North 2 Ali Gov, China East 2 Finance, China (Shanghai), China (Hangzhou), China (Beijing), China (Shenzhen), China (Chengdu), China (Hong Kong), Singapore, US (Silicon Valley), Germany (Frankfurt), and Indonesia (Jakarta).

• Limits on permissions

  • The following table provides information about the permissions of the roles of users that use Data Governance Center.

    Role	Permission description	References
    Tenant-level data governance administrator	A tenant-level data governance administrator can view governance reports, governance issues, and check events from the global perspective and perform relevant rectification operations.	For information about how to grant permissions to a RAM user, see the Manage tenant-level roles section in the Manage permissions on global-level services topic. For information about the permissions of a data governance administrator, see the Data Governance section in the Permissions of built-in workspace-level roles topic.
    Workspace Administrator	A workspace administrator can view governance reports from the workspace perspective. If you want to view governance reports in a workspace from the workspace perspective, you must be assigned the Workspace Administrator role of the workspace.	For information about how to grant permissions to users, see the Add a RAM user to a workspace as a member and assign roles to the member section in the Manage permissions on workspace-level services topic. For information about how to view governance reports, see the View a governance report section in the View data governance results topic.
    Workspace-level data governance administrator	A workspace-level data governance administrator can view and manage the data governance content of the workspace to which the role belongs. Note RAM users that are assigned this role cannot view the governance effectiveness of all workspaces in the current region from the global perspective, and cannot manage global governance operations, such as enabling check items globally. If you want to perform the preceding operations from the global perspective as a RAM user, make sure that the RAM user is assigned the tenant-level data governance administrator role.	For information about how to grant permissions to users, see the Add a RAM user to a workspace as a member and assign roles to the member section in the Manage permissions on workspace-level services topic. For information about the features supported by the workspace-level data governance administrator role, see the Data Governance section in the Permissions of built-in workspace-level roles topic.
    Common user	Common users are the personnel who handle detected issues in Data Governance Center. A common user can view check events and governance issues from the personal perspective and perform rectification operations. If you want to perform rectification operations on issues that are identified in a workspace of a tenant, you must be added to the workspace as a member. Note By default, except for Alibaba Cloud accounts and RAM users to which the AliyunDataWorksFullAccess policy is attached, all other users are common users within a tenant.	For information about how to grant permissions to users, see Add a RAM user to a workspace as a member and assign roles to the member.

  • Only Alibaba Cloud accounts and RAM users to which the AliyunDataWorksFullAccess policy is attached can use all features of Data Governance Center. If you want to use all features of Data Governance Center as a RAM user, you must apply for the required permissions. For more information, see Grant the permissions to perform operations in DataWorks to a RAM user.

• Limits on data sources

  Only MaxCompute, E-MapReduce (EMR), and Hologres data sources support Data Governance Center.

  Note

  • Before you can use a Hologres data source in Data Governance Center, you must collect metadata of Hologres in Data Map. For more information, see Metadata collection.

  • Hologres data sources support Data Governance Center only in the following regions: China (Beijing), China (Shanghai), China (Hangzhou), and China (Shenzhen).

Logic of data governance

• Check for violations against constraints based on check items.

  Check items are used to check nodes for violations against constraints before nodes are committed and deployed. Before you commit and deploy nodes, you can check whether data violates the constraints that you specify for data development by using the check items. If the system detects that the data violates the constraints, a check event is generated and blocks the subsequent data development process. You can handle issues that are related to the check event. This way, the data development process can be executed as expected.

• Detect issues based on governance items.

  Governance items are used to detect governance issues after nodes are committed and deployed. After nodes are committed and deployed, you can view governance issues from the global, personal, or workspace perspective in Data Governance Center. Data governance engineers can handle detected governance issues and implement measures at the earliest opportunity to achieve data governance goals.

Terms

• check item: A check item is used to check nodes for violations against constraints before the nodes are committed and deployed and generate check events that block the subsequent data development process. Check items can help you restrict and manage the data development process.

  For example, a check item can be configured to prohibit the use of the select* statement or the CREATE TABLE statement.

• check event: A check event is triggered by a check item and blocks the subsequent data development process.

• governance item: A governance item is used by DataWorks to detect governance issues after nodes are committed and deployed. Governance items are classified into mandatory governance items and optional governance items. By default, mandatory governance items are globally enabled and cannot be disabled. You can enable optional governance items based on your business requirements.

  For example, you can use governance items to detect the nodes that time out, nodes that fail to run for consecutive times, leaf nodes that are not accessed by users, or dry-run nodes.

• governance issue: A governance issue is detected by DataWorks based on specific governance items and needs to be resolved based on data governance and optimization.

• governance plan template: A governance plan template is provided by Data Governance Center and contains built-in check items and governance items. By default, the governance plan template is enabled. You can use the governance plan template to detect issues in data. If the built-in check items and governance items in the template cannot meet your business requirements, you can add custom check items, and create rules to disable the governance items that you do not want to use.

• health score: A health score is calculated based on the health assessment model provided by DataWorks and reflects the effectiveness of data governance.

• governance unit: A governance unit consists of one or more workspaces. You can view statistics on the overall health score, governance issues, and check events of the workspaces within the governance unit.

• knowledge base: The knowledge base provides solutions that are used to check events and governance issues detected based on the built-in check items and governance items.

Data governance procedure

1. Configure governance tools.

   • Enable a governance plan template and configure custom items.

     Operation	Description	References
     Enable a governance plan template	Data governance is performed based on a governance plan template in Data Governance Center. The governance plan template contains built-in check items and governance items. To use the data governance feature, you must enable a governance plan template before you perform the subsequent operations. You can use only the default governance plan template, which is enabled by default.	View a governance plan template
     Configure custom check items	If the check items provided in the template do not meet your business requirements, you can configure custom check items based on your business requirements. Create a check item for a registered custom extension. DataWorks also allows you to create a check item in Data Governance Center for a custom extension. After that, Data Governance Center also detects the check events triggered by the custom extension. Disable one or more check items. If the governance plan template contains a check item that is unnecessary for a workspace, you can disable the check item for this workspace. After you disable the check item, Data Governance Center does not detect the check event triggered by the check item in the specified workspace.	Configure check items
     Create rules to disable governance items	If the governance plan template contains a governance item that is unnecessary for a workspace, you can create a rule to disable the governance item in the specified workspace. After you disable the governance item, Data Governance Center does not detect governance issues based on the governance item in the specified workspace. No governance issues for the governance item are displayed on the Governance issues page. Note You can disable only optional governance items. You cannot create governance items.	Configure governance items

   • Optional. Configure a governance unit.

     DataWorks allows you to perform data governance on multiple workspaces in a centralized manner by creating a governance unit based on your business requirements. Then, you can view statistics on the overall health score, governance issues, and check events for the workspaces within the governance unit. For more information about how to create and manage a governance unit, see Configure a governance unit.

   • Optional. Configure notifications for detected issues.

     If you want the system to notify specified personnel of detected issues by using the notification methods such as system messages, emails, DingTalk group messages, and webhook URLs, you can configure notifications for the detected issues. This way, the specified personnel can view and handle the issues at the earliest opportunity. For more information, see Configure a periodic notification for governance issues.

2. Start a check and handle detected issues.

   • Check nodes for violations against constraints before the nodes are committed and deployed.

     DataWorks performs a check based on check items. Before nodes are committed and deployed, DataWorks checks the nodes based on the check items. If data violates the constraints, check events are generated. Then, you can view and handle the check events. For more information, see Handle check events.

   • Detect governance issues after the nodes are committed and deployed.

     DataWorks detects governance issues based on governance items. After nodes are committed and deployed, DataWorks detects governance issues based on the governance items. Then, you can view and handle the governance issues. For more information, see View and handle governance issues.

   • Perform a special check by using the features on the Task 360 and Table 360 pages.

     You can use the features on the Task 360 and Table 360 pages to view and detect issues that occur on specific nodes or tables in a comprehensive manner. For more information, see Obtain a panoramic view of a task and Obtain a panoramic view of a table.

   If invalid issues are detected in this process, you can add the issues to a whitelist or undeploy related nodes on which invalid issues are detected. For more information, see Add invalid governance issues to a whitelist and Graceful undeployment.

3. Select an analytical perspective.

   • Based on use scenarios: DataWorks provides multiple perspectives such as data production, data usage, and data management to help you analyze the effectiveness of data governance and govern data in an efficient manner.

   • Based on rational use of resources: DataWorks provides statistics on the resource consumption and node running status, the number and storage status of MaxCompute tables, and resource usage overview and details. Data developers and administrators can view and analyze the overall resource situation of a workspace and use resources in a rational manner based on the statistics. For more information, see Data pivoting from the resource type perspective.

4. View governance results.

   After you handle the issues, you can go to the Governance assessment page to view the governance results of the operations that you perform from different perspectives on the Report and Rankings tabs. You can analyze the governance results to identify the dimensions and types of governance issues that frequently occur. This can help you take measures to handle the governance issues and achieve data governance goals. For more information about how to view the governance results, see View data governance results.

   Data Governance Center calculates health scores based on the governance items by using the health assessment model. You can view the health scores on the Report and Rankings tabs to learn the governance results. A higher health score indicates a better governance result. For more information about health scores, see the Quantitative assessment: health scores section in this topic.

Quantitative assessment: health scores