Exploring Data Management
Summarize
Summary of Exploring Data Management
Data Management capabilities in the ServiceNow AI Platform help instance administrators control and optimize the growth of table data. By defining data management policies, admins can set rules to archive or delete older data, visualize storage consumption, and maintain efficient data storage within their instance.
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Key Features
- Data Management Policies: Define rules for archiving and cleaning data on specific tables to manage storage effectively.
- Storage Visualization: View summaries of storage consumption to identify tables with high data usage.
- Archiving: Move older records to archive tables based on customizable criteria.
- Table Cleaning: Automatically delete aged or unwanted records to reduce data footprint.
- Safe Record Updates and Deletions: Preview and validate changes before they are applied.
How It Works
Instance admins monitor cloud storage entitlements and usage via Subscription Management. Upon detecting excessive storage use, admins analyze the Data Management Console to identify high-consumption tables. They then create or adjust data management policies to archive or delete data appropriately. After running archive and cleaning jobs, admins continue monitoring to ensure data reduction and maintain optimal storage.
Benefits for ServiceNow Customers
- Proactive Storage Monitoring: Track data growth trends and storage consumption over time.
- Automated Data Lifecycle Management: Archive or delete data automatically to prevent storage bloat.
- Improved Instance Performance: Maintaining manageable data sizes supports efficient platform operation.
- Control and Safety: Preview and safely update or delete records to avoid unintended data loss.
Next Steps
ServiceNow customers can deepen their understanding by exploring topics such as analyzing data usage, managing data growth, and safely updating or deleting records. These resources provide practical guidance to effectively implement and maintain data management policies in their instances.
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.
- Visualize a summary of storage consumption on your instance.
- Manage the growth of data on your instance by archiving and cleaning table data.
Data Management users
| User | Description |
|---|---|
| Instance admin | The instance admin monitors growth and storage of data on the instance. The instance admin configures 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 Management Console. 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 Management Console to verify that data consumption is reduced and continues to monitor the top 10 tables.
Data Management benefits
| Benefit | Feature | Users |
|---|---|---|
| Monitor data usage on your instance over time | Analyzing data usage on your instance | Instance admin |
| Archive older records | Data archiving | Instance admin |
| Delete older or unwanted records automatically | Table cleaner | Instance admin |
| Preview and update records safely | Updating records safely | Instance admin |
| Preview and delete records safely | Deleting records safely | Instance admin |