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Copy file name to clipboardExpand all lines: articles/storage/blobs/storage-blob-inventory-report-analytics.md
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@@ -4,7 +4,7 @@ description: Learn how to analyze and visualize blob inventory reports by using
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author: normesta
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ms.service: storage
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ms.topic: tutorial
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ms.date: 11/21/2022
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ms.date: 12/01/2022
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ms.author: normesta
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ms.subservice: blobs
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---
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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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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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3. In Synapse Studio, select the **Develop** tab.
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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.
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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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> [!div class="mx-imgBorder"]
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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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> [!div class="mx-imgBorder"]
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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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## Visualize the data
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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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- Learn about ways to analyze individual containers in your storage account. See these articles:
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[Calculate blob count and total size per container using Azure Storage inventory](calculate-blob-count-size.md)
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[Estimate the cost of archiving data](archive-cost-estimation.md)
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[Optimize costs by automatically managing the data lifecycle](lifecycle-management-overview.md)
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Include cost optimization links.
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[Optimize costs by automatically managing the data lifecycle](lifecycle-management-overview.md)
Copy file name to clipboardExpand all lines: articles/storage/common/storage-plan-manage-costs.md
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@@ -170,6 +170,7 @@ Storage capacity is billed in units of the average daily amount of data stored,
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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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-[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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