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articles/storage/blobs/storage-blob-inventory-report-analytics.md

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## Set up and run the sample notebook
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In this section, you'll generate statistical data that you'll visualize in a report. To simplify this tutorial, this section leverages a sample configuration file and a sample PySpark notebook. The notebook contains a collection of queries that execute in Azure Synapse Studio.
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In this section, you'll generate statistical data that you'll visualize in a report. To simplify this tutorial, this section uses a sample configuration file and a sample PySpark notebook. The notebook contains a collection of queries that execute in Azure Synapse Studio.
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#### Modify and upload the sample configuration file
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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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Make sure to save this file with the `.ipynb` extension.
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> [!NOTE]
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> Make sure to save this file with the `.ipynb` extension.
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2. Open your Synapse workspace in Synapse Studio. See [Open Synapse Studio](../../synapse-analytics/get-started-create-workspace.md#open-synapse-studio).
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2. Verify that the notebook ran successfully by selecting the **Data** tab.
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A database named **reportdata** should appear in the **Workspace** tab of the **Data** pane. If this database does not appear, then you might have to refresh the web page.
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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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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, click **Select SQL script**, and then click **Select TOP 100 rows**.
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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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4. You can modify the query if you want and then select **Run** to view the results.
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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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## Next steps
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- Set up an Azure Synapse pipeline to keep running your notebook at regular intervals. That way you can process new inventory reports as they are created. After the initial run, each of the next runs will analyze incremental data and then update the tables with the results of that analysis. For guidance, see [Integrate with pipelines](../../synapse-analytics/get-started-pipelines.md).
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- Set up an Azure Synapse pipeline to keep running your notebook at regular intervals. That way you can process new inventory reports as they're created. After the initial run, each of the next runs will analyze incremental data and then update the tables with the results of that analysis. For guidance, see [Integrate with pipelines](../../synapse-analytics/get-started-pipelines.md).
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- Learn about ways to analyze individual containers in your storage account. See these articles:
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articles/storage/common/storage-plan-manage-costs.md

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## Next steps
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- Learn more on how pricing works with Azure Storage. See [Azure Storage Overview pricing](https://azure.microsoft.com/pricing/details/storage/).
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- Understanding how your blobs and containers are stored, organized, and used in production so that you better optimize the tradeoffs between cost and performance. See [Tutorial: Analyze blob inventory reports](storage-blob-inventory-report-analytics.md).
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- Understanding how your blobs and containers are stored, organized, and used in production so that you better optimize the tradeoffs between cost and performance. See [Tutorial: Analyze blob inventory reports](../blobs/storage-blob-inventory-report-analytics.md).
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- [Optimize costs for Blob Storage with reserved capacity](../blobs/storage-blob-reserved-capacity.md).
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- Learn [how to optimize your cloud investment with Azure Cost Management](../../cost-management-billing/costs/cost-mgt-best-practices.md?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn).
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- Learn more about managing costs with [cost analysis](../../cost-management-billing/costs/quick-acm-cost-analysis.md?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn).

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