The Data Integration consumption monitor helps you track and understand how much data is being replicated or applied through your data integration projects and pipelines.
The Data Integration consumption monitor displays metrics about the volume of data being transferred through your replication projects and pipelines. The monitor measures data in bytes, which represents the total amount of data replicated or applied in your workspace across all continuous and mainframe replication projects.
- To view your total data integration consumption on the DIS
usage screen:
- Go to .
- Locate the Data Integration section on the usage screen.
- View the Consumption Volume metric, which displays the total bytes replicated or applied in your workspace.
- To view consumption data broken down by time period:
- On the Data Integration section, click Details.
- Review the consumption breakdown by time period: last hour, last 24 hours, last 30 days, monthly, or entire billing period.
- Use this information to identify usage trends and peak consumption times.
- To view consumption data at the catalogue asset level (for
continuous replication projects only):
- From the main navigation menu, click Catalog.
- Search for or navigate to a Replication Project asset.
- View the asset details page. The Transfer Unit field shows the measurement in bytes, and the Transfer Volume field shows the total data replicated for this project.
- Use these metrics to understand consumption at the project level.
- To view detailed consumption reports through Tableau:
- Access the Tableau reporting interface from your workspace.
- Navigate to the data integration consumption report.
- Use the available filters to analyze consumption by workspace, project, pipeline, connection, database, schema, table, alias, operation (insertion/update/delete), type (continuous/mainframe) and unit (bytes/records).
- Review the detailed breakdowns to identify consumption patterns and optimize your data integration strategy.
You've successfully viewed your data integration consumption metrics. Use this information to understand your usage patterns, identify high-consumption projects, plan resource allocation, and forecast future needs.