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Merge pull request #248785 from v-jbasden/v-jbasden-logs-content-inventory-line-49
Authoring new guidance on the prerequisites and permissions required to integrate Log Analytics and Excel
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articles/azure-monitor/logs/log-excel.md

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> [!NOTE]
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> Because Excel is a local client application, local hardware and software limitations impact it's performance and ability to process large sets of data.
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## Prerequisites
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To integrate Log Analytics and Excel, you need:
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- [Excel](https://www.microsoft.com/en-us/microsoft-365/excel) local client application.
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- A Log Analytics workspace that has some data. If needed, [create a diagnostic setting to send data to a Log Analytics workspace](../essentials/create-diagnostic-settings.md).
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[!INCLUDE [log-analytics-query-permissions](../../../includes/log-analytics-query-permissions.md)]
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## Create your M query in Log Analytics
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1. **Create and run your query** in Log analytics as you normally would. Don’t worry if you hit the number of records limitation in the user interface. We recommend you use relative dates - like the ‘ago’ function or the UI time picker - so Excel refreshes the right set of data.
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2. **Export Query** - Once you are happy with the query and its results, export the query to M using Log Analytics **Export to Power BI (M query)** menu choice under the *Export* menu:
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:::image type="content" source="media/log-excel/export-query.png" alt-text="Log Analytics query with the data and export option" border="true":::
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:::image type="content" source="media/log-excel/export-query.png" alt-text="Screenshot of Log Analytics query with the data and export option." border="true":::
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articles/azure-monitor/toc.yml

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href: logs/functions.md
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- name: Parse text data
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href: logs/parse-text.md
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- name: Send to Excel
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href: logs/log-excel.md
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- name: Computer groups
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href: logs/computer-groups.md
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- name: Cross-service and cross-resource queries

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