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articles/data-lake-store/data-lake-store-copy-data-azure-storage-blob.md

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Azure Data Lake Storage Gen1 provides a command line tool, [AdlCopy](https://www.microsoft.com/en-us/download/details.aspx?id=50358), to copy data from the following sources:
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Azure Data Lake Storage Gen1 provides a command line tool, [AdlCopy](https://www.microsoft.com/download/details.aspx?id=50358), to copy data from the following sources:
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* From Azure Storage Blobs into Data Lake Storage Gen1. You cannot use AdlCopy to copy data from Data Lake Storage Gen1 to Azure Storage blobs.
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* Between two Azure Data Lake Storage Gen1 accounts.
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* **Azure Storage Blobs** container with some data.
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* **An Azure Data Lake Storage Gen1 account**. For instructions on how to create one, see [Get started with Azure Data Lake Storage Gen1](data-lake-store-get-started-portal.md)
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* **Azure Data Lake Analytics account (optional)** - See [Get started with Azure Data Lake Analytics](../data-lake-analytics/data-lake-analytics-get-started-portal.md) for instructions on how to create a Data Lake Analytics account.
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* **AdlCopy tool**. Install the [AdlCopy tool](https://www.microsoft.com/en-us/download/details.aspx?id=50358).
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* **AdlCopy tool**. Install the [AdlCopy tool](https://www.microsoft.com/download/details.aspx?id=50358).
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## Syntax of the AdlCopy tool
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Use the following syntax to work with the AdlCopy tool

articles/hdinsight/spark/apache-spark-use-with-data-lake-store.md

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> [!NOTE]
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> You do not need to perform this step if you have created the HDInsight cluster with Data Lake Storage as default storage. The cluster creation process adds some sample data in the Data Lake Storage account that you specify while creating the cluster. Skip to the section Use HDInsight Spark cluster with Data Lake Storage.
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If you created an HDInsight cluster with Data Lake Storage as additional storage and Azure Storage Blob as default storage, you should first copy over some sample data to the Data Lake Storage account. You can use the sample data from the Azure Storage Blob associated with the HDInsight cluster. You can use the [ADLCopy tool](https://www.microsoft.com/en-us/download/details.aspx?id=50358) to do so. Download and install the tool from the link.
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If you created an HDInsight cluster with Data Lake Storage as additional storage and Azure Storage Blob as default storage, you should first copy over some sample data to the Data Lake Storage account. You can use the sample data from the Azure Storage Blob associated with the HDInsight cluster. You can use the [ADLCopy tool](https://www.microsoft.com/download/details.aspx?id=50358) to do so. Download and install the tool from the link.
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1. Open a command prompt and navigate to the directory where AdlCopy is installed, typically `%HOMEPATH%\Documents\adlcopy`.
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articles/machine-learning/data-science-virtual-machine/vm-do-ten-things.md

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1. The Azure Cosmos DB Python SDK is already installed on the DSVM. To update it, run ```pip install pydocumentdb --upgrade``` from a command prompt.
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2. Create an Azure Cosmos DB account and database from the [Azure portal](https://portal.azure.com).
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3. Download the Azure Cosmos DB Data Migration Tool from the [Microsoft Download Center](https://www.microsoft.com/en-us/download/details.aspx?id=53595) and extract to a directory of your choice.
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3. Download the Azure Cosmos DB Data Migration Tool from the [Microsoft Download Center](https://www.microsoft.com/download/details.aspx?id=53595) and extract to a directory of your choice.
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4. Import JSON data (volcano data) stored in a [public blob](https://cahandson.blob.core.windows.net/samples/volcano.json) into Azure Cosmos DB with the following command parameters to the migration tool. (Use dtui.exe from the directory where you installed the Azure Cosmos DB Data Migration Tool.) Enter the source and target location with these parameters:
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`/s:JsonFile /s.Files:https://cahandson.blob.core.windows.net/samples/volcano.json /t:DocumentDBBulk /t.ConnectionString:AccountEndpoint=https://[DocDBAccountName].documents.azure.com:443/;AccountKey=[[KEY];Database=volcano /t.Collection:volcano1`

articles/security/fundamentals/iaas.md

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An availability set is a logical grouping that you can use in Azure to ensure that the VM resources you place within it are isolated from each other when they’re deployed in an Azure datacenter. Azure ensures that the VMs you place in an availability set run across multiple physical servers, compute racks, storage units, and network switches. If a hardware or Azure software failure occurs, only a subset of your VMs are affected, and your overall application continues to be available to your customers. Availability sets are an essential capability when you want to build reliable cloud solutions.
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## Protect against malware
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You should install antimalware protection to help identify and remove viruses, spyware, and other malicious software. You can install [Microsoft Antimalware](antimalware.md) or a Microsoft partner’s endpoint protection solution ([Trend Micro](https://help.deepsecurity.trendmicro.com/azure-marketplace-getting-started-with-deep-security.html), [Symantec](https://www.symantec.com/products), [McAfee](https://www.mcafee.com/us/products.aspx), [Windows Defender](https://www.microsoft.com/en-us/windows/comprehensive-security), and [System Center Endpoint Protection](/configmgr/protect/deploy-use/endpoint-protection)).
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You should install antimalware protection to help identify and remove viruses, spyware, and other malicious software. You can install [Microsoft Antimalware](antimalware.md) or a Microsoft partner’s endpoint protection solution ([Trend Micro](https://help.deepsecurity.trendmicro.com/azure-marketplace-getting-started-with-deep-security.html), [Symantec](https://www.symantec.com/products), [McAfee](https://www.mcafee.com/us/products.aspx), [Windows Defender](https://www.microsoft.com/windows/comprehensive-security), and [System Center Endpoint Protection](/configmgr/protect/deploy-use/endpoint-protection)).
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Microsoft Antimalware includes features like real-time protection, scheduled scanning, malware remediation, signature updates, engine updates, samples reporting, and exclusion event collection. For environments that are hosted separately from your production environment, you can use an antimalware extension to help protect your VMs and cloud services.
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