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Addressing validation issues
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articles/storage/blobs/storage-blob-inventory-report-analytics.md

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3. Upload this file to the container in your primary storage account that you specified when you created the Synapse workspace.
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#### Import the sample PySpark Notebook
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#### Import the sample PySpark notebook
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1. Download the [ReportAnalysis.ipynb](https://github.com/microsoft/Blob-Inventory-Report-Analytics/blob/main/src/ReportAnalysis.ipynb) sample notebook.
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6. In the **Properties** dialog box, select the **Configure session** link.
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> [!div class="mx-imgBorder"]
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> ![Import properties dialog box](./media/storage-blob-inventory-report-analytics/import-properties-dialog-box.png)
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> ![Screenshot of the Import properties dialog box](./media/storage-blob-inventory-report-analytics/import-properties-dialog-box.png)
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The **Configure session** dialog box opens.
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A database named **reportdata** should appear in the **Workspace** tab of the **Data** pane. If this database doesn't appear, then you might have to refresh the web page.
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> [!div class="mx-imgBorder"]
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> ![Report data database](./media/storage-blob-inventory-report-analytics/report-data-database.png)
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> ![Screenshot of the Data pane which shows the reportdata database](./media/storage-blob-inventory-report-analytics/report-data-database.png)
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The database contains a set of tables. Each table contains information obtained by running the queries from the PySpark notebook.
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3. To examine the contents of a table, expand the **Tables** folder of the **reportdata** database. Then, right-click a table, select **Select SQL script**, and then select **Select TOP 100 rows**.
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> [!div class="mx-imgBorder"]
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> ![Menu option to create a new sql script](./media/storage-blob-inventory-report-analytics/run-sql-scripts-on-tables.png)
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> ![Screenshot of the menu option to create a new sql script](./media/storage-blob-inventory-report-analytics/run-sql-scripts-on-tables.png)
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4. You can modify the query as needed and then select **Run** to view the results.
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> [!div class="mx-imgBorder"]
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> ![Query editor and results](./media/storage-blob-inventory-report-analytics/query-editor-and-results.png)
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> ![Screenshot of the query editor and query results](./media/storage-blob-inventory-report-analytics/query-editor-and-results.png)
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## Visualize the data
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3. In the **Open** dialog box, change the file type to **Power BI template files (*.pbit)**.
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> [!div class="mx-imgBorder"]
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> ![The Power BI template files type in the Open dialog box](./media/storage-blob-inventory-report-analytics/file-type-setting.png)
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> ![Screenshot of the the Power BI template files type that appears in the Open dialog box](./media/storage-blob-inventory-report-analytics/file-type-setting.png)
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4. Browse to the location of the **ReportAnalysis.pbit** file that you downloaded, and then select **Open**.
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5. In the dialog box, set the **synapse_workspace_name** field to the workspace name and set the **database_name** field to `reportdata`. Then, select the **Load** button.
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> [!div class="mx-imgBorder"]
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> ![Report configuration dialog box](./media/storage-blob-inventory-report-analytics/report-configuration-dialog-box.png)
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> ![Screenshot of the report configuration dialog box](./media/storage-blob-inventory-report-analytics/report-configuration-dialog-box.png)
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A report appears which provides visualizations of the data retrieved by the notebook. The following images show the types of the charts and graphs that appear in this report.
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> [!div class="mx-imgBorder"]
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> ![Overview tab of the report](./media/storage-blob-inventory-report-analytics/power-bi-report-overview.png)
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> ![Screenshot of the overview tab of the report](./media/storage-blob-inventory-report-analytics/power-bi-report-overview.png)
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> [!div class="mx-imgBorder"]
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> ![Detailed analysis tab of the report](./media/storage-blob-inventory-report-analytics/power-bi-report-detailed-analysis.png)
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> ![Screenshot of the detailed analysis tab of the report](./media/storage-blob-inventory-report-analytics/power-bi-report-detailed-analysis.png)
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> [!div class="mx-imgBorder"]
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> ![Breakdown tab of the report](./media/storage-blob-inventory-report-analytics/power-bi-report-breakdown.png)
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> ![Screenshot of the breakdown tab of the report](./media/storage-blob-inventory-report-analytics/power-bi-report-breakdown.png)
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## Next steps
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articles/storage/common/storage-plan-manage-costs.md

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![Screenshot showing your estimate](media/storage-plan-manage-costs/price-calculator-storage-type.png)
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As you change the value of the **Type** drop-down list, other options that appear on this worksheet change as well. Use the links in the **More Info** section to learn more about what each option means and how these options affect the price of storage-related operations.
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As you change the value of the **Type** drop-down list, other options that appear on this worksheet change as well. Use the links in the **More Info** section to learn more about what each option means and how these options effect the price of storage-related operations.
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4. Modify the remaining options to see their affect on your estimate.
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4. Modify the remaining options to see their effect on your estimate.
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> [!TIP]
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> - To view an Excel template which can help you to itemize the amount of storage and number of operations required by your workloads, see [Estimating Pricing for Azure Block Blob Deployments](https://azure.github.io/Storage/docs/application-and-user-data/code-samples/estimate-block-blob/).
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## Export cost data
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You can also [export your cost data](../../cost-management-billing/costs/tutorial-export-acm-data.md?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn) to a storage account. This is helpful when you need or others to do additional data analysis for costs. For example, a finance teams can analyze the data using Excel or Power BI. You can export your costs on a daily, weekly, or monthly schedule and set a custom date range. Exporting cost data is the recommended way to retrieve cost datasets.
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You can also [export your cost data](../../cost-management-billing/costs/tutorial-export-acm-data.md?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn) to a storage account. This is helpful when you need or others to do additional data analysis for costs. For example, a finance team can analyze the data using Excel or Power BI. You can export your costs on a daily, weekly, or monthly schedule and set a custom date range. Exporting cost data is the recommended way to retrieve cost datasets.
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## FAQ
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