Merge branch 'master' into v-makouz-ae_money

Author: v-makouz

.openpublishing.redirection.json

@@ -59114,6 +59114,11 @@
       "source_path": "docs/ssms/quickstarts/connect-query-sql-server.md",
       "redirect_url": "/sql/ssms/quickstarts/ssms-connect-query-sql-server",
       "redirect_document_id": false
+    },
+    {
+      "source_path": "docs/relational-databases/security/encryption/always-encrypted-enclaves-query-columns-ssms.md",
+      "redirect_url": "/sql/relational-databases/security/encryption/always-encrypted-enclaves-query-columns",
+      "redirect_document_id": true
     }
   ]
 }

docs/ado/guide/data/calling-a-stored-procedure-with-a-command.md

@@ -128,4 +128,4 @@ End Function
 ```  
 
 ## See Also  
- [Knowledge Base article 117500](https://go.microsoft.com/fwlink/?LinkId=117500)
+ [Knowledge Base article 117500](https://www.betaarchive.com/wiki/index.php?title=Microsoft_KB_Archive/185125)

docs/analytics-platform-system/polybase-configure-azure-blob-storage.md

@@ -1,6 +1,6 @@
 ---
-title: "Use PolyBase to access external data in Azure Blob storage"
-description: Explains how to use PolyBase on a Parallel Data Warehouse (APS) to query external data in Azure Blob storage. 
+title: "Use PolyBase to access external data in Azure Blob Storage"
+description: Explains how to use PolyBase on a Parallel Data Warehouse (APS) to query external data in Azure Blob Storage. 
 author: mzaman1 
 ms.prod: sql
 ms.technology: data-warehouse
@@ -10,28 +10,28 @@ ms.author: murshedz
 ms.reviewer: martinle
 ms.custom: seo-dt-2019
 ---
-# Configure PolyBase to access external data in Azure Blob storage
+# Configure PolyBase to access external data in Azure Blob Storage
 
-The article explains how to use PolyBase on a SQL Server instance to query external data in Azure Blob storage.
+The article explains how to use PolyBase on a SQL Server instance to query external data in Azure Blob Storage.
 
 > [!NOTE]
-> APS currently only supports standard general purpose v1 locally redundant (LRS) Azure Blob storage.
+> APS currently only supports standard general purpose v1 locally redundant (LRS) Azure Blob Storage.
 
 ## Prerequisites
 
- - Azure Blob storage in your subscription.
- - A container created in the Azure Blob storage.
+ - Azure Blob Storage in your subscription.
+ - A container created in the Azure Blob Storage.
 
-### Configure Azure Blob storage connectivity
+### Configure Azure Blob Storage connectivity
 
-First, configure APS to use Azure Blob storage.
+First, configure APS to use Azure Blob Storage.
 
-1. Run [sp_configure](../relational-databases/system-stored-procedures/sp-configure-transact-sql.md) with 'hadoop connectivity' set to an Azure Blob storage provider. To find the value for providers, see [PolyBase Connectivity Configuration](../database-engine/configure-windows/polybase-connectivity-configuration-transact-sql.md).
+1. Run [sp_configure](../relational-databases/system-stored-procedures/sp-configure-transact-sql.md) with 'hadoop connectivity' set to an Azure Blob Storage provider. To find the value for providers, see [PolyBase Connectivity Configuration](../database-engine/configure-windows/polybase-connectivity-configuration-transact-sql.md).
 
    ```sql  
    -- Values map to various external data sources.  
    -- Example: value 7 stands for Hortonworks HDP 2.1 to 2.6 on Linux,
-   -- 2.1 to 2.3 on Windows Server, and Azure Blob storage  
+   -- 2.1 to 2.3 on Windows Server, and Azure Blob Storage  
    sp_configure @configname = 'hadoop connectivity', @configvalue = 7;
    GO
 
@@ -43,15 +43,15 @@ First, configure APS to use Azure Blob storage.
 
 ## Configure an external table
 
-To query the data in your Azure Blob storage, you must define an external table to use in Transact-SQL queries. The following steps describe how to configure the external table.
+To query the data in your Azure Blob Storage, you must define an external table to use in Transact-SQL queries. The following steps describe how to configure the external table.
 
 1. Create a master key on the database. It is required to encrypt the credential secret.
 
    ```sql
    CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'S0me!nfo';  
    ```
 
-1. Create a database scoped credential for Azure Blob storage.
+1. Create a database scoped credential for Azure Blob Storage.
 
    ```sql
    -- IDENTITY: any string (this is not used for authentication to Azure storage).  
@@ -75,7 +75,7 @@ To query the data in your Azure Blob storage, you must define an external table
 1. Create an external file format with [CREATE EXTERNAL FILE FORMAT](../t-sql/statements/create-external-file-format-transact-sql.md).
 
    ```sql
-   -- FORMAT TYPE: Type of format in Azure Blob storage (DELIMITEDTEXT,  RCFILE, ORC, PARQUET).
+   -- FORMAT TYPE: Type of format in Azure Blob Storage (DELIMITEDTEXT,  RCFILE, ORC, PARQUET).
    -- In this example, the files are pipe (|) delimited
    CREATE EXTERNAL FILE FORMAT TextFileFormat WITH (  
          FORMAT_TYPE = DELIMITEDTEXT,
@@ -118,7 +118,7 @@ The following queries provide example with fictional car sensor data.
 
 ### Ad hoc queries  
 
-The following ad hoc query joins relational with data in Azure Blob storage. It selects customers who drive faster than 35 mph, joining structured customer data stored in SQL Server with car sensor data stored in Azure Blob storage.  
+The following ad hoc query joins relational with data in Azure Blob Storage. It selects customers who drive faster than 35 mph, joining structured customer data stored in SQL Server with car sensor data stored in Azure Blob Storage.  
 
 ```sql  
 SELECT DISTINCT Insured_Customers.FirstName,Insured_Customers.LastName,
@@ -149,10 +149,10 @@ ON Insured_Customers.CustomerKey = SensorD.CustomerKey
 
 ### Exporting data  
 
-The following query exports data from APS to Azure Blob storage. It can be used to archive relational data to Azure Blob storage while still be able to query it.
+The following query exports data from APS to Azure Blob Storage. It can be used to archive relational data to Azure Blob Storage while still be able to query it.
 
 ```sql
--- Export data: Move old data to Azure Blob storage while keeping it query-able via an external table.  
+-- Export data: Move old data to Azure Blob Storage while keeping it query-able via an external table.  
 CREATE EXTERNAL TABLE [dbo].[FastCustomers2009] 
 WITH (  
       LOCATION='/archive/customer/2009',  

docs/azure-data-studio/download-azure-data-studio.md

@@ -8,7 +8,7 @@ author: yualan
 ms.author: alayu
 ms.reviewer: maghan
 ms.custom: seodec18
-ms.date: 12/11/2020
+ms.date: 1/22/2020
 ---
 
 # Download and install Azure Data Studio
@@ -21,9 +21,9 @@ Azure Data Studio offers a modern editor experience with IntelliSense, code snip
 
 | Platform | Download | Release date | Version |
 |----------|----------|--------------|---------|
-| Windows | [User Installer (recommended)](https://go.microsoft.com/fwlink/?linkid=2150927)<br>[System Installer](https://go.microsoft.com/fwlink/?linkid=2150928)<br>[.zip](https://go.microsoft.com/fwlink/?linkid=2151312) | December 11, 2020 | 1.25.1 |
-| macOS | [.zip](https://go.microsoft.com/fwlink/?linkid=2151311) | December 11, 2020 | 1.25.1 |
-| Linux | [.deb](https://go.microsoft.com/fwlink/?linkid=2151506)<br>[.rpm](https://go.microsoft.com/fwlink/?linkid=2151407)<br>[.tar.gz](https://go.microsoft.com/fwlink/?linkid=2151508) | December 11, 2020 | 1.25.1 |
+| Windows | [User Installer (recommended)](https://go.microsoft.com/fwlink/?linkid=2150927)<br>[System Installer](https://go.microsoft.com/fwlink/?linkid=2150928)<br>[.zip](https://go.microsoft.com/fwlink/?linkid=2151312) | January 22, 2020 | 1.25.2 |
+| macOS | [.zip](https://go.microsoft.com/fwlink/?linkid=2151311) | January 22, 2020 | 1.25.2 |
+| Linux | [.deb](https://go.microsoft.com/fwlink/?linkid=2151506)<br>[.rpm](https://go.microsoft.com/fwlink/?linkid=2151407)<br>[.tar.gz](https://go.microsoft.com/fwlink/?linkid=2151508) | January 22, 2020 | 1.25.2 |
 
 **For details about the latest release, see the [release notes](./release-notes-azure-data-studio.md).**
 
@@ -145,6 +145,7 @@ Azure Data Studio runs on Windows, macOS, and Linux and is supported on the foll
 - macOS 10.14 Mojave
 - macOS 10.13 High Sierra
 - macOS 10.12 Sierra
+- macOS 11.1  Big Sur
 
 ### Linux
 

docs/azure-data-studio/extensions/extension-authoring.md

@@ -30,7 +30,7 @@ To develop an extension, you need [Node.js](https://nodejs.org/) installed and a
 To create your new extension, you can use the Azure Data Studio extension generator. The Yeoman [extension generator](https://www.npmjs.com/package/generator-azuredatastudio) is a beneficial starting point for extension projects. To start the generator, enter the following command in a command prompt:
 
 ```console
-npm install -g yo generator-azuredatastudio # Install the generator
+npm install -g yo generator-azuredatastudio
 yo azuredatastudio
 ```
 

docs/azure-data-studio/release-notes-azure-data-studio.md

@@ -8,13 +8,21 @@ author: yualan
 ms.author: alayu
 ms.reviewer: maghan
 ms.custom: seodec18
-ms.date: 12/9/2020
+ms.date: 1/22/2020
 ---
 
 # Release notes for Azure Data Studio
 
 **[Download and install the latest release!](./download-azure-data-studio.md)**
 
+## December 2020 (hotfix)
+
+January 22, 2020   /   version: 1.25.2
+
+| Change | Details |
+| ------ | ------- |
+| Fix bug [#13899](https://github.com/microsoft/azuredatastudio/issues/13899)| Scrolling to the appropriate cross-reference links in Notebooks |
+
 ## December 2020
 
 December 9, 2020   /   version: 1.25.0
@@ -45,7 +53,7 @@ November 12, 2020   /   version: 1.24.0
 | New Item | Details | Workaround |
 |----------|---------|------------|
 | Azure Arc extension | [Known Issue:](https://github.com/microsoft/azuredatastudio/issues/13319) The "Script to Notebook" button for Arc MIAA & PG deployments does not do field validation before scripting the notebook. This means that if users enter the password wrong in the password confirm inputs then they may end up with a notebook that has the wrong value for the password.| The "Deploy" button works as expected though so users should use that instead. |
-| Object Explorer | Releases of ADS before 1.24.0 have a breaking change in object explorer due to the engine's changes related to [Azure Synapse Analytics serverless SQL pool](https://docs.microsoft.com/azure/synapse-analytics/sql/on-demand-workspace-overview). | To continue utilizing object explorer in Azure Data Studio with Azure Synapse Analytics serverless SQL pool, you need to use Azure Data Studio 1.24.0 or later. |
+| Object Explorer | Releases of ADS before 1.24.0 have a breaking change in object explorer due to the engine's changes related to [Azure Synapse Analytics serverless SQL pool](/azure/synapse-analytics/sql/on-demand-workspace-overview). | To continue utilizing object explorer in Azure Data Studio with Azure Synapse Analytics serverless SQL pool, you need to use Azure Data Studio 1.24.0 or later. |
 
 You can reference [Azure Data Studio feedback](https://github.com/microsoft/azuredatastudio) for other known issues and to provide feedback to the product team.
 

docs/big-data-cluster/active-directory-deployment-aks.md

@@ -13,7 +13,7 @@ ms.technology: big-data-cluster
 
 # Deploy SQL Server Big Data Clusters in AD mode on Azure Kubernetes Services (AKS)
 
-SQL Server Big Data Clusters support [Active Directory (AD) deployment mode](deploy-active-directory.md) for **Identity and Access Management (IAM)**. IAM for **Azure Kubernetes Service (AKS)** has been challenging because industry-standard protocols such as OAuth 2.0 and OpenID Connect which is widely supported by Microsoft identity platform is not supported by SQL Server.  
+SQL Server Big Data Clusters support [Active Directory (AD) deployment mode](./active-directory-prerequisites.md) for **Identity and Access Management (IAM)**. IAM for **Azure Kubernetes Service (AKS)** has been challenging because industry-standard protocols such as OAuth 2.0 and OpenID Connect which is widely supported by Microsoft identity platform is not supported by SQL Server.  
 
 This article explains how to deploy a big data cluster (BDC) in AD mode while deploying in [Azure Kubernetes Service (AKS)](/azure/aks/intro-kubernetes). 
 
@@ -61,4 +61,4 @@ For a BDC deployment in AD mode, the solution to [integrate on-premises Active D
 
 ## Next steps
 
-[Tutorial: Deploy SQL Server Big Data Clusters in AD mode on Azure Kubernetes Services (AKS)](active-directory-deployment-aks-tutorial.md)
+[Tutorial: Deploy SQL Server Big Data Clusters in AD mode on Azure Kubernetes Services (AKS)](active-directory-deployment-aks-tutorial.md)

docs/big-data-cluster/cluster-monitor-ads.md

@@ -18,7 +18,7 @@ This article explains how to view the status of a big data cluster using Azure D
 
 ## <a id="datastudio"></a> Use Azure Data Studio
 
-After downloading the latest **insiders build** of [Azure Data Studio](https://aka.ms/getazuredatastudio), you can view service endpoints and the status of a big data cluster with the SQL Server big data cluster dashboard. Some of the features below are only first available in the insiders build of Azure Data Studio.
+After downloading the latest **insiders build** of [Azure Data Studio](../azure-data-studio/download-azure-data-studio.md), you can view service endpoints and the status of a big data cluster with the SQL Server big data cluster dashboard. Some of the features below are only first available in the insiders build of Azure Data Studio.
 
 1. First, create a connection to your big data cluster in Azure Data Studio. For more information, see [Connect to a SQL Server big data cluster with Azure Data Studio](connect-to-big-data-cluster.md).
 
@@ -78,4 +78,4 @@ You can directly click on these links. You will be required to authenticate when
 
 ## Next steps
 
-For more information about [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see [What are [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ver15.md)]?](big-data-cluster-overview.md).
+For more information about [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see [What are [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ver15.md)]?](big-data-cluster-overview.md).

docs/big-data-cluster/private-deploy.md

@@ -31,7 +31,7 @@ This section shows you deploy a BDC cluster in Azure Kubernetes Service (AKS) pr
 
 ## Create a private AKS cluster with advanced networking
 
-```console
+```bash
 
 export REGION_NAME=<your Azure region >
 export RESOURCE_GROUP=< your resource group name >
@@ -65,7 +65,7 @@ echo $SUBNET_ID
 
 To be able to get to next step, you need to provision an AKS cluster with Standard Load Balancer with private cluster feature enabled. Your command will look like as follows: 
 
-```console
+```bash
 az aks create \
     --resource-group $RESOURCE_GROUP \
     --name $AKS_NAME \
@@ -85,21 +85,21 @@ After a successful deployment, you can go to `<MC_yourakscluster>` resource grou
 
 ## Connect to an AKS cluster
 
-```console
+```azurecli
 az aks get-credentials -n $AKS_NAME -g $RESOURCE_GROUP
 ```
 
 ## Build Big Data Cluster (BDC) deployment profile
 
 After connecting to an AKS cluster, you can start to deploy BDC, and you can prepare the environment variable and initiate a deployment: 
 
-```console
+```azurecli
 azdata bdc config init --source aks-dev-test --target private-bdc-aks --force
 ```
 
 Generate and config BDC custom deployment profile:
 
-```console
+```azurecli
 azdata bdc config replace -c private-bdc-aks/control.json -j "$.spec.docker.imageTag=2019-CU6-ubuntu-16.04"
 azdata bdc config replace -c private-bdc-aks/control.json -j "$.spec.storage.data.className=default"
 azdata bdc config replace -c private-bdc-aks/control.json -j "$.spec.storage.logs.className=default"
@@ -118,13 +118,13 @@ In case you are [deploying a SQL Server Big Data Cluster (SQL-BDC) with high ava
 
 The following example sets the `ServiceType` as `NodePort`:
 
-```console
+```azurecli
 azdata bdc config replace -c private-bdc-aks /bdc.json -j "$.spec.resources.master.spec.endpoints[1].serviceType=NodePort"
 ```
 
 ## Deploy BDC in AKS private cluster
 
-```console
+```azurecli
 export AZDATA_USERNAME=<your bdcadmin username>
 export AZDATA_PASSWORD=< your bdcadmin password>
 

docs/big-data-cluster/quickstart-big-data-cluster-deploy-aro.md

@@ -39,7 +39,7 @@ The default big data cluster deployment used here consists of a SQL Master insta
 
 The script uses Azure CLI to automate the creation of an ARO cluster. Before running the script, you must log in to your Azure account with Azure CLI at least once. Run the following command from a command prompt.
 
-```terminal
+```azurecli
 az login
 ```
 
@@ -53,7 +53,7 @@ az login
 
 1. Run the script using:
 
-```terminal
+```console
 python deploy-sql-big-data-aro.py
 ```
 
@@ -77,7 +77,7 @@ If you are testing [!INCLUDE[big-data-clusters-2019](../includes/ssbigdatacluste
 
 Run the following Azure CLI command to remove the big data cluster and the ARO service in Azure (replace `<resource group name>` with the **Azure resource group** you specified in the deployment script):
 
-```terminal
+```azurecli
 az group delete -n <resource group name>
 ```