Exploring Data Management
Summarize
Summary of Exploring Data Management
Data Management capabilities in the ServiceNow AI Platform allow administrators to effectively control and optimize the growth of table data within their instances. By defining data management policies, administrators can set rules to archive or delete older records, helping manage storage consumption and maintain system performance. The platform also offers visualization tools to monitor storage usage and identify tables consuming excess space.
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Key Features
- Data Management Policies: Define rules for specific tables to archive or clean data based on age or other criteria.
- Archiving: Move older records from primary tables to archive tables to free up active storage.
- Table Cleaner: Automatically delete outdated or unwanted records to reduce data bloat.
- Data Usage Visualization: Monitor storage consumption on your instance through dashboards that highlight top data-consuming tables.
How It Works
Administrators monitor storage usage at the account level and identify instances with unexpectedly high data consumption. Using the Data Usage Visualization Console, they pinpoint large tables and review or create data management policies for those tables. Policies can include multiple archive rules and table cleaning rules tailored to the data retention needs. After implementing these policies, administrators continue to monitor data consumption to ensure storage is optimized and controlled.
Benefits for ServiceNow Customers
- Efficient Storage Management: Reduce unnecessary data growth and optimize storage usage.
- Improved System Performance: By archiving or deleting old data, overall instance performance can be enhanced.
- Automated Data Lifecycle Management: Policies automate data archiving and deletion, reducing manual intervention.
- Proactive Monitoring: Visualization tools enable continuous oversight of data consumption trends.
Next Steps
To fully leverage Data Management capabilities, explore topics such as managing data growth, safely updating and deleting records, and database rotation. These resources provide detailed guidance on configuring policies and maintaining data integrity while optimizing storage.
Learn about Data Management capabilities and how they help you manage table data in the ServiceNow AI Platform.
Data Management overview
- Define and access a set of data management rules for a table using a data management policy.
- Manage the growth of data on your instance by archiving and cleaning table data.
- Visualize a summary of storage consumption on your instance.
Data Management users
| User | Description |
|---|---|
| Administrator | Monitor growth and storage of data on the instance. Configure data management policies to archive and delete older records. |
Data Management workflow
This infographic depicts how an administrator uses a data management policy to configure data management rules for a table and monitor data usage on an instance.
- The instance admin monitors cloud storage entitlements and data usage at the account-level in Subscription Management.
- The instance admin finds that one instance is consuming a greater amount of storage than expected and decides to investigate.
- The instance admin logs in to the instance and analyzes which tables are consuming the most data by viewing the Data Usage Visualization Console dashboard. The instance admin notices that two tables are consuming more data than expected.
- The instance admin reviews the data management policies for the tables in question. One of the tables has never been archived or cleaned before, so the instance admin creates a data management policy for this table.
- The instance admin determines that older records in one of the tables can be moved to an archive table. The instance admin creates multiple archive rules using different criteria to move data from the primary table to an archive table.
- The instance admin decides that older records in the other table aren't needed after a certain date. The admin adds a table cleaner rule to the data management policy that deletes records from the table periodically as the records age out.
- After the archive and table cleaner jobs are finished, the instance admin continues to monitor the Data Usage Visualization Console dashboard to verify that data consumption is reduced and continues to monitor the top 10 tables.
Data Management benefits
| Benefit | Feature | Users |
|---|---|---|
| Archive older records | Data archiving | Administrator |
| Delete older or unwanted records automatically | Table cleaner | Administrator |
| Monitor data usage on your instance over time | Viewing data usage on your instance | Administrator |