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articles/cosmos-db/table-storage-how-to-use-c-plus.md

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To install the Azure Storage Client Library for C++, use the following methods:
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* Linux. Follow the instructions given in [Azure Storage Client Library for C++](https://github.com/Azure/azure-storage-cpp/blob/master/README.md).
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* Windows. In Visual Studio, select **Tools > NuGet Package Manager > Package Manager Console**. Run the following command in the **Package Management Console**:
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* **Linux:** Follow the instructions given in the [Azure Storage Client Library for C++ README: Getting Started on Linux](https://github.com/Azure/azure-storage-cpp#getting-started-on-linux) page.
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* **Windows:** On Windows, use [vcpkg](https://github.com/microsoft/vcpkg) as the dependency manager. Follow the [quick-start](https://github.com/microsoft/vcpkg#quick-start) to initialize vcpkg. Then, use the following command to install the library:
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```powershell
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Install-Package wastorage
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```
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```powershell
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.\vcpkg.exe install azure-storage-cpp
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```
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For more information about **Package Management Console**, see [Install and manage packages with the Package Manager Console in Visual Studio](/nuget/tools/package-manager-console).
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You can find a guide for how to build the source code and export to Nuget in the [README](https://github.com/Azure/azure-storage-cpp#download--install) file.
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### Configure access to the Table client library
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articles/data-factory/connector-azure-sql-database-managed-instance.md

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title: Copy data to and from Azure SQL Database Managed Instance by using Azure Data Factory
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title: Copy data to and from Azure SQL Database Managed Instance
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description: Learn how to move data to and from Azure SQL Database Managed Instance by using Azure Data Factory.
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services: data-factory
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documentationcenter: ''
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author: linda33wj
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ms.date: 09/09/2019
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# Copy data to and from Azure SQL Database Managed Instance by using Azure Data Factory
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This article outlines how to use the copy activity in Azure Data Factory to copy data to and from Azure SQL Database Managed Instance. It builds on the [Copy activity overview](copy-activity-overview.md) article that presents a general overview of the copy activity.

articles/data-factory/connector-dynamics-ax.md

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title: Copy data from Dynamics AX by using Azure Data Factory
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title: Copy data from Dynamics AX
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description: Learn how to copy data from Dynamics AX to supported sink data stores by using a copy activity in an Azure Data Factory pipeline.
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services: data-factory
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documentationcenter: ''

articles/data-factory/connector-dynamics-crm-office-365.md

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title: Copy data from and to Dynamics CRM or Dynamics 365 (Common Data Service) by using Azure Data Factory
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title: Copy data in Dynamics (Common Data Service)
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description: Learn how to copy data from Microsoft Dynamics CRM or Microsoft Dynamics 365 (Common Data Service) to supported sink data stores, or from supported source data stores to Dynamics CRM or Dynamics 365, by using a copy activity in a data factory pipeline.
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services: data-factory
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author: linda33wj
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manager: craigg
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ms.date: 10/25/2019
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# Copy data from and to Dynamics 365 (Common Data Service) or Dynamics CRM by using Azure Data Factory
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This article outlines how to use Copy Activity in Azure Data Factory to copy data from and to Microsoft Dynamics 365 or Microsoft Dynamics CRM. It builds on the [Copy Activity overview](copy-activity-overview.md) article that presents a general overview of Copy Activity.

articles/data-factory/create-shared-self-hosted-integration-runtime-powershell.md

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title: Create a shared self-hosted integration runtime in Azure Data Factory
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title: Create a shared self-hosted integration runtime with PowerShell
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description: Learn how to create a shared self-hosted integration runtime in Azure Data Factory, so multiple data factories can access the integration runtime.
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services: data-factory
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documentationcenter: ''
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author: nabhishek
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ms.date: 10/31/2018
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ms.author: abnarain
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author: nabhishek
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manager: anansub
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ms.custom: seo-lt-2019
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ms.date: 10/31/2018
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---
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# Create a shared self-hosted integration runtime in Azure Data Factory
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This guide shows you how to create a shared self-hosted integration runtime in Azure Data Factory. Then you can use the shared self-hosted integration runtime in another data factory.

articles/data-factory/data-flow-sink.md

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title: Set up a sink transformation in the mapping data flow feature of Azure Data Factory
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title: Set up a sink transformation in the mapping data flow feature
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description: Learn how to set up a sink transformation in the mapping data flow.
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author: kromerm
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articles/data-factory/data-flow-source.md

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title: Source transformation in mapping data flow - Azure Data Factory
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title: Source transformation in mapping data flow
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description: Learn how to set up a source transformation in mapping data flow.
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articles/data-factory/data-migration-guidance-overview.md

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title: Use Azure Data Factory to migrate data from your data lake and data warehouse to Azure
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title: Migrate data from data lake and data warehouse to Azure
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description: Use Azure Data Factory to migrate data from your data lake and data warehouse to Azure.
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# Use Azure Data Factory to migrate data from your data lake or data warehouse to Azure
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If you want to migrate your data lake or enterprise data warehouse (EDW) to Microsoft Azure, consider using Azure Data Factory. Azure Data Factory is well-suited to the following scenarios:

articles/data-factory/self-hosted-integration-runtime-proxy-ssis.md

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title: Configure self-hosted integration runtime as a proxy for SSIS in Azure Data Factory
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title: Configure self-hosted integration runtime as a proxy for SSIS
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description: Learn how to configure Self-Hosted Integration Runtime as a proxy for Azure-SSIS Integration Runtime.
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# Configure Self-Hosted IR as a proxy for Azure-SSIS IR in ADF
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This article describes how to run SQL Server Integration Services (SSIS) packages on Azure-SSIS Integration Runtime (IR) in Azure Data Factory (ADF) with Self-Hosted IR configured as a proxy. This feature allows you to access data on premises without [joining your Azure-SSIS IR to a virtual network](https://docs.microsoft.com/azure/data-factory/join-azure-ssis-integration-runtime-virtual-network). This is useful when your corporate network has an overly complex configuration/restrictive policy for you to inject your Azure-SSIS IR in it.
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This feature will split your package containing a Data Flow Task with on-premises data source into two staging tasks: the first one running on your Self-Hosted IR will first move data from the on-premises data source into a staging area in your Azure Blob Storage, while the second one running on your Azure-SSIS IR will then move data from the staging area into the intended data destination.

articles/data-factory/transform-data-using-databricks-notebook.md

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title: "Run a Databricks Notebook with the Databricks Notebook activity in Azure Data Factory"
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title: Run a Databricks Notebook with the Databricks Notebook activity
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description: "Learn how you can use the Databricks Notebook Activity in an Azure data factory to run a Databricks notebook against the databricks jobs cluster."
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services: data-factory
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documentationcenter: ""
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author: nabhishek
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ms.date: "03/12/2018"
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author: nabhishek
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# Run a Databricks notebook with the Databricks Notebook Activity in Azure Data Factory
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In this tutorial, you use the Azure portal to create an Azure Data Factory pipeline that executes a Databricks notebook against the Databricks jobs cluster. It also passes Azure Data Factory parameters to the Databricks notebook during execution.

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