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articles/azure-monitor/logs/data-platform-logs.md

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@@ -109,6 +109,7 @@ This table describes some of the ways that you can use the data you collect in A
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| Analyze | Use [Log Analytics](./log-analytics-tutorial.md) in the Azure portal to write [log queries](./log-query-overview.md) and interactively analyze log data by using a powerful analysis engine. |
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| Aggregate| Use [summary rules](./summary-rules.md) to aggregate information you need for alerting and analysis from the raw log data you ingest. This lets you optimize your costs, analysis capabilities, and query performance. |
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| Detect and analyze anomalies | [Use built-in or custom anomaly detection algorithms](./kql-machine-learning-azure-monitor.md) to identify unusual patterns or behaviors in your log data. This helps in early detection of potential issues. |
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| Alert | Configure a [log search alert rule](../alerts/alerts-log.md) or [metric alert for logs](../alerts/alerts-metric-logs.md) to send a notification or take [automated action](../alerts/action-groups.md) when a particular condition occurs. |
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| Visualize | Pin query results rendered as tables or charts to an [Azure dashboard](../../azure-portal/azure-portal-dashboards.md).<br>Create a [workbook](../visualize/workbooks-overview.md) to combine with multiple sets of data in an interactive report. <br>Export the results of a query to [Power BI](./log-powerbi.md) to use different visualizations and share with people outside Azure.<br>Export the results of a query to [Grafana](../visualize/grafana-plugin.md) to use its dashboarding and combine with other data sources.|
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| Get insights | [Insights](../insights/insights-overview.md) provide a customized monitoring experience for particular resources and services. |

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