Cleanup of Overview and Tutorial for recent service updates.

Author: douglaslMS

docs/integration-services/lift-shift/ssis-azure-deploy-run-monitor-tutorial.md

@@ -1,6 +1,6 @@
 ---
 title: "Deploy and run an SSIS package in Azure | Microsoft Docs"
-ms.date: "02/05/2018"
+ms.date: "5/22/2018"
 ms.topic: conceptual
 ms.prod: sql
 ms.prod_service: "integration-services"
@@ -20,7 +20,7 @@ This tutorial shows you how to deploy a SQL Server Integration Services project
 
 Before you start, make sure you have version 17.2 or later of SQL Server Management Studio. To download the latest version of SSMS, see [Download SQL Server Management Studio (SSMS)](https://docs.microsoft.com/sql/ssms/download-sql-server-management-studio-ssms).
 
-Also make sure that you have set up the SSISDB database and provisioned the Azure-SSIS Integration Runtime. For info about how to provision SSIS on Azure, see [Deploy SSIS packages to Azure](https://docs.microsoft.com/azure/data-factory/tutorial-create-azure-ssis-runtime-portal).
+Also make sure that you have set up the SSISDB database and provisioned the Azure-SSIS Integration Runtime. For info about how to provision SSIS on Azure, see [Deploy SQL Server Integration Services packages to Azure](https://docs.microsoft.com/azure/data-factory/tutorial-deploy-ssis-packages-azure).
 
 > [!NOTE]
 > Deployment to Azure only supports the project deployment model.
@@ -53,7 +53,7 @@ Here are the two most important things to remember. These steps are described in
    | ------------ | ------------------ | ------------------------------------------------- | 
    | **Server type** | Database Engine | This value is required. |
    | **Server name** | The fully qualified server name | The name should be in this format: **mysqldbserver.database.windows.net**. If you need the server name, see [Connect to the SSISDB Catalog database on Azure](ssis-azure-connect-to-catalog-database.md). |
-   | **Authentication** | SQL Server Authentication | With SQL Server authentication, you can connect to SQL Server or to Azure SQL Database. |
+   | **Authentication** | SQL Server Authentication | You can't connect to Azure SQL Database with Windows authentication. |
    | **Login** | The server admin account | The account that you specified when you created the server. |
    | **Password** | The password for your server admin account | The password that you specified when you created the server. |
 
@@ -63,12 +63,6 @@ Here are the two most important things to remember. These steps are described in
 
 5. In Object Explorer, expand **Integration Services Catalogs** and then expand **SSISDB** to view the objects in the SSIS Catalog database.
 
-## <a name="wizard_auth"></a> Authentication methods in the Deployment Wizard
-
-If you're deploying to a SQL Server with the Deployment Wizard, you have to use SQL Server authentication; you can't use Windows authentication.
-
-If you're deploying to an Azure SQL Database server, you have to use SQL Server authentication or Azure Active Directory authentication; you can't use Windows authentication.
-
 ## Deploy a project with the Deployment Wizard
 
 To learn more about deploying packages and about the Deployment Wizard, see [Deploy Integration Services (SSIS) Projects and Packages](../packages/deploy-integration-services-ssis-projects-and-packages.md) and [Integration Services Deployment Wizard](../packages/deploy-integration-services-ssis-projects-and-packages.md#integration-services-deployment-wizard).
@@ -194,7 +188,7 @@ For more info about how to monitor running packages in SSMS, see [Monitor Runnin
 
 ## Monitor the Azure-SSIS Integration Runtime
 
-To get status info about the Azure-SSIS Integration Runtime in which packages are running, use the following PowerShell commands: For each of the commands, provide the names of the Data Factory, the Azure-SSIS IR, and the resource group.
+To get status info about the Azure-SSIS Integration Runtime in which packages are running, use the following PowerShell commands. For each of the commands, provide the names of the Data Factory, the Azure-SSIS IR, and the resource group. For more info, see [Monitor Azure-SSIS integration runtime](https://docs.microsoft.com/azure/data-factory/monitor-integration-runtime#azure-ssis-integration-runtime).
 
 ### Get metadata about the Azure-SSIS Integration Runtime
 

docs/integration-services/lift-shift/ssis-azure-lift-shift-ssis-packages-overview.md

@@ -1,6 +1,6 @@
 ---
 title: "Lift and shift SQL Server Integration Services workloads to the cloud | Microsoft Docs"
-ms.date: "05/21/2018"
+ms.date: "05/22/2018"
 ms.topic: conceptual
 ms.prod: sql
 ms.prod_service: "integration-services"
@@ -16,7 +16,7 @@ manager: craigg
 # Lift and shift SQL Server Integration Services workloads to the cloud
 You can now move your SQL Server Integration Services (SSIS) packages and workloads to the Azure cloud.
 -   Store and manage SSIS projects and packages in the SSIS Catalog database (SSISDB) on Azure SQL Database or SQL Database Managed Instance (Preview).
--   Run packages in an instance of the Azure-SSIS Integration Runtime, introduced as part of Azure Data Factory version 2.
+-   Run packages in an instance of the Azure-SSIS Integration Runtime, a component of Azure Data Factory.
 -   Use familiar tools such as SQL Server Management Studio (SSMS) for common tasks.
 
 ## Benefits
@@ -26,26 +26,16 @@ Moving your on-premises SSIS workloads to Azure has the following potential bene
 -   **Increase scalability** with the ability to specify multiple cores per node (scale up) and multiple nodes per cluster (scale out).
 
 ## Architecture overview
-The following table highlights the differences between SSIS on premises and SSIS on Azure. The most significant difference is the separation of storage from compute.
+The following table highlights the differences between SSIS on premises and SSIS on Azure. The most significant difference is the separation of storage from runtime. Azure Data Factory hosts the runtime engine for SSIS packages on Azure. The runtime engine is called the Azure-SSIS Integration Runtime (Azure-SSIS IR). For more info, see [Azure-SSIS Integration Runtime](https://docs.microsoft.com/azure/data-factory/concepts-integration-runtime#azure-ssis-integration-runtime).
 
 | Storage | Runtime | Scalability |
 |---|---|---|
 | On premises (SQL Server) | SSIS runtime hosted by SQL Server | SSIS Scale Out (in SQL Server 2017 and later)<br/><br/>Custom solutions (in prior versions of SQL Server) |
-| On Azure (SQL Database or SQL Database Managed Instance (Preview)) | Azure-SSIS Integration Runtime, a component of Azure Data Factory version 2 | Scaling options for the Azure-SSIS IR |
+| On Azure (SQL Database or SQL Database Managed Instance (Preview)) | Azure-SSIS Integration Runtime, a component of Azure Data Factory | Scaling options for the Azure-SSIS Integration Runtime |
 | | | |
 
-Azure Data Factory hosts the runtime engine for SSIS packages on Azure. The runtime engine is called the Azure-SSIS Integration Runtime (Azure-SSIS IR). For more info, see [Azure-SSIS Integration Runtime](https://docs.microsoft.com/azure/data-factory/concepts-integration-runtime#azure-ssis-integration-runtime).
-
-When you provision the Azure-SSIS IR, you can scale up and scale out by specifying values for the following options:
--   The node size (including the number of cores) and the number of nodes in the cluster.
--   The existing instance of Azure SQL Database to host the SSIS Catalog Database (SSISDB), and the service tier for the database.
--   The maximum parallel executions per node.
-
 You only have to provision the Azure-SSIS IR one time. After that, you can use familiar tools such as SQL Server Data Tools (SSDT) and SQL Server Management Studio (SSMS) to deploy, configure, run, monitor, schedule, and manage packages.
 
-> [!NOTE]
-> During this public preview, the Azure-SSIS Integration Runtime is not yet available in all regions. For info about the supported regions, see [Products available by region - Microsoft Azure](https://azure.microsoft.com/regions/services/).
-
 ## Version support
 
 You can deploy a package created with any version of SSIS to Azure. When you deploy a package to Azure, if there are no validation errors, the package is automatically upgraded to the latest package format. In other words, it is always upgraded to the latest version of SSIS.
@@ -54,14 +44,25 @@ The deployment process validates packages to ensure that they can run on the Azu
 
 ## Prerequisites
 
-The capabilities described in this article require the following versions of SQL Server Data Tools (SSDT):
--   For Visual Studio 2017, version 15.3 (preview) or later.
+To deploy SSIS packages to Azure, you have to have one of the following versions of SQL Server Data Tools (SSDT):
+-   For Visual Studio 2017, version 15.3 or later.
 -   For Visual Studio 2015,  version 17.2 or later.
 
-For more info about prerequisites in Azure, see [Deploy SSIS packages to Azure](https://docs.microsoft.com/azure/data-factory/tutorial-create-azure-ssis-runtime-portal).
+For info about the prerequisites for the Azure-SSIS Integration Runtime, see [Deploy SQL Server Integration Services packages to Azure - Prerequisites](https://docs.microsoft.com/azure/data-factory/tutorial-deploy-ssis-packages-azure#prerequisites).
+
+> [!NOTE]
+> During this public preview, the Azure-SSIS Integration Runtime is not yet available in all regions. For info about the supported regions, see [Products available by region - Microsoft Azure](https://azure.microsoft.com/regions/services/).
 
 ## Provision SSIS on Azure
-Before you can deploy and run SSIS packages in Azure, you have to provision the SSIS Catalog database (SSISDB) and the Azure-SSIS Integration Runtime. Follow the provisioning steps in this article: [Deploy SSIS packages to Azure](https://docs.microsoft.com/azure/data-factory/tutorial-create-azure-ssis-runtime-portal).
+
+Before you can deploy and run SSIS packages in Azure, you have to provision the SSIS Catalog database (SSISDB) and the Azure-SSIS Integration Runtime. Follow the provisioning steps in this article: [Deploy SQL Server Integration Services packages to Azure](https://docs.microsoft.com/azure/data-factory/tutorial-deploy-ssis-packages-azure).
+
+When you provision the Azure-SSIS IR, you can scale up and scale out by specifying values for the following options:
+-   The node size (including the number of cores) and the number of nodes in the cluster.
+-   The existing instance of Azure SQL Database to host the SSIS Catalog Database (SSISDB), and the service tier for the database.
+-   The maximum parallel executions per node.
+
+For more info about performance, see [Configure the Azure-SSIS Integration Runtime for high performance](https://docs.microsoft.com/azure/data-factory/configure-azure-ssis-integration-runtime-performance).
 
 ## Design packages
 
@@ -114,5 +115,5 @@ To schedule the execution of packages stored in Azure SQL Database, you can use
 
 ## Next steps
 To get started with SSIS workloads on Azure, see the following articles:
--   [Deploy SSIS packages to Azure](https://docs.microsoft.com/azure/data-factory/tutorial-create-azure-ssis-runtime-portal)
+-   [Deploy SQL Server Integration Services packages to Azure](https://docs.microsoft.com/azure/data-factory/tutorial-deploy-ssis-packages-azure)
 -   [Deploy, run, and monitor an SSIS package on Azure](ssis-azure-deploy-run-monitor-tutorial.md)