Merge pull request #112874 from stevestein/sql-edge-rename-4.27

sql edge rename

Author: American-Dipper

.openpublishing.redirection.json

@@ -51959,6 +51959,41 @@
       "source_path": "articles/sql-database/sql-database-auditing-and-threat-detection-powershell.md",
       "redirect_url": "/azure/sql-database/scripts/sql-database-auditing-and-threat-detection-powershell",
       "redirect_document_id": true
+    },
+    {
+      "source_path": "articles/sql-database-edge/index.yml",
+      "redirect_url": "/azure/azure-sql-edge/",
+      "redirect_document_id": true
+    },
+    {
+      "source_path": "articles/sql-database-edge/deploy-onnx.md",
+      "redirect_url": "/azure/azure-sql-edge/deploy-onnx",
+      "redirect_document_id": true
+    },
+    {
+      "source_path": "articles/sql-database-edge/deploy-portal.md",
+      "redirect_url": "/azure/azure-sql-edge/deploy-portal",
+      "redirect_document_id": true
+    },
+    {
+      "source_path": "articles/sql-database-edge/onnx-overview.md",
+      "redirect_url": "/azure/azure-sql-edge/onnx-overview",
+      "redirect_document_id": true
+    },
+    {
+      "source_path": "articles/sql-database-edge/overview.md",
+      "redirect_url": "/azure/azure-sql-edge/overview",
+      "redirect_document_id": true
+    },
+    {
+      "source_path": "articles/sql-database-edge/stream-analytics.md",
+      "redirect_url": "/azure/azure-sql-edge/stream-analytics",
+      "redirect_document_id": true
+    },
+    {
+      "source_path": "articles/sql-database-edge/tutorial-sync-data-factory.md",
+      "redirect_url": "/azure/azure-sql-edge/tutorial-sync-data-factory",
+      "redirect_document_id": true
     }
  ]
 }

articles/sql-database-edge/deploy-onnx.md renamed to articles/azure-sql-edge/deploy-onnx.md

@@ -1,7 +1,7 @@
 ---
-title: Deploy and make predictions with ONNX in SQL Database Edge Preview
-description: Learn how to train a model, convert it to ONNX, deploy it to Azure SQL Database Edge Preview, and then run native PREDICT on data using the uploaded ONNX model.
-keywords: deploy sql database edge
+title: Deploy and make predictions with ONNX in SQL Edge Preview
+description: Learn how to train a model, convert it to ONNX, deploy it to Azure SQL Edge Preview, and then run native PREDICT on data using the uploaded ONNX model.
+keywords: deploy SQL Edge
 services: sql-database-edge
 ms.service: sql-database-edge
 ms.subservice: machine-learning
@@ -11,15 +11,15 @@ ms.author: davidph
 ms.date: 04/23/2020
 ---
 
-# Deploy and make predictions with an ONNX model in SQL Database Edge Preview
+# Deploy and make predictions with an ONNX model in SQL Edge Preview
 
-In this quickstart, you'll learn how to train a model, convert it to ONNX, deploy it to Azure SQL Database Edge Preview, and then run native PREDICT on data using the uploaded ONNX model. For more information, see [Machine learning and AI with ONNX in SQL Database Edge Preview](onnx-overview.md).
+In this quickstart, you'll learn how to train a model, convert it to ONNX, deploy it to Azure SQL Edge Preview, and then run native PREDICT on data using the uploaded ONNX model. For more information, see [Machine learning and AI with ONNX in SQL Edge Preview](onnx-overview.md).
 
 This quickstart is based on **scikit-learn** and uses the [Boston Housing dataset](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html).
 
 ## Before you begin
 
-* If you haven't deployed an Azure SQL Database Edge module, follow the steps of [deploy SQL Database Edge Preview using the Azure portal](deploy-portal.md).
+* If you haven't deployed an Azure SQL Edge module, follow the steps of [deploy SQL Edge Preview using the Azure portal](deploy-portal.md).
 
 * Install [Azure Data Studio](https://docs.microsoft.com/sql/azure-data-studio/download).
 
@@ -214,7 +214,7 @@ MSE are equal
 
 ## Insert the ONNX model
 
-Store the model in Azure SQL Database Edge, in a `models` table in a database `onnx`. In the connection string, specify the **server address**, **username**, and **password**.
+Store the model in Azure SQL Edge, in a `models` table in a database `onnx`. In the connection string, specify the **server address**, **username**, and **password**.
 
 ```python
 import pyodbc
@@ -272,7 +272,7 @@ conn.commit()
 
 ## Load the data
 
-Load the data into Azure SQL Database Edge.
+Load the data into Azure SQL Edge.
 
 First, create two tables, **features** and **target**, to store subsets of the Boston housing dataset.
 
@@ -345,7 +345,7 @@ Now you can view the data in the database.
 
 ## Run PREDICT using the ONNX model
 
-With the model in Azure SQL Database Edge, run native PREDICT on the data using the uploaded ONNX model.
+With the model in Azure SQL Edge, run native PREDICT on the data using the uploaded ONNX model.
 
 > [!NOTE]
 > Change the notebook kernel to SQL to run the remaining cell.
@@ -384,4 +384,4 @@ FROM PREDICT(MODEL = @model, DATA = predict_input) WITH (variable1 FLOAT) AS p
 
 ## Next Steps
 
-* [Machine Learning and AI with ONNX in SQL Database Edge](onnx-overview.md)
+* [Machine Learning and AI with ONNX in SQL Edge](onnx-overview.md)

articles/sql-database-edge/deploy-portal.md renamed to articles/azure-sql-edge/deploy-portal.md

@@ -1,7 +1,7 @@
 ---
-title: Deploy SQL Database Edge Preview using the Azure portal | Microsoft Docs
-description: Learn how to deploy Azure SQL Database Edge using the Azure portal
-keywords: deploy sql database edge
+title: Deploy SQL Edge Preview using the Azure portal | Microsoft Docs
+description: Learn how to deploy Azure SQL Edge using the Azure portal
+keywords: deploy SQL Edge
 services: sql-database-edge
 ms.service: sql-database-edge
 ms.topic: conceptual
@@ -11,29 +11,29 @@ ms.reviewer: sstein
 ms.date: 11/04/2019
 ---
 
-# Deploy Azure SQL Database Edge Preview
+# Deploy Azure SQL Edge Preview
 
-Azure SQL Database Edge Preview is a relational database engine optimized for IoT and Azure IoT Edge deployments. It provides capabilities to create a high-performance data storage and processing layer for IoT applications and solutions. This quickstart shows you how to get started with creating an Azure SQL Database Edge module through Azure IoT Edge using the Azure portal.
+Azure SQL Edge Preview is a relational database engine optimized for IoT and Azure IoT Edge deployments. It provides capabilities to create a high-performance data storage and processing layer for IoT applications and solutions. This quickstart shows you how to get started with creating an Azure SQL Edge module through Azure IoT Edge using the Azure portal.
 
 ## Before you begin
 
 * If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/).
 * Sign in to the [Azure portal](https://portal.azure.com/).
-* Submit a request [here](https://azure.microsoft.com/services/sql-database-edge/#contact), to have the subscription enabled for deployment of SQL Database Edge.
+* Submit a request [here](https://azure.microsoft.com/services/sql-database-edge/#contact), to have the subscription enabled for deployment of SQL Edge.
 * Create an [Azure IoT Hub](../iot-hub/iot-hub-create-through-portal.md).
 * Register an [IoT Edge Device from the Azure portal](../iot-edge/how-to-register-device-portal.md).
 * Prepare the IoT Edge device to [deploy IoT Edge module from the Azure portal](../iot-edge/how-to-deploy-modules-portal.md).
 
 > [!NOTE]
 > To deploy an Azure Linux VM as an IoT Edge device, see this [quickstart guide](../iot-edge/quickstart-linux.md).
 
-## Deploy SQL Database Edge Module from Azure Marketplace
+## Deploy SQL Edge Module from Azure Marketplace
 
-Azure Marketplace is an online applications and services marketplace where you can browse through a wide range of enterprise applications and solutions that are certified and optimized to run on Azure, including [IoT Edge modules](https://azuremarketplace.microsoft.com/marketplace/apps/category/internet-of-things?page=1&subcategories=iot-edge-modules). Azure SQL Database Edge can be deployed to an edge device through the marketplace.
+Azure Marketplace is an online applications and services marketplace where you can browse through a wide range of enterprise applications and solutions that are certified and optimized to run on Azure, including [IoT Edge modules](https://azuremarketplace.microsoft.com/marketplace/apps/category/internet-of-things?page=1&subcategories=iot-edge-modules). Azure SQL Edge can be deployed to an edge device through the marketplace.
 
-1. Find the Azure SQL Database Edge module on the Azure Marketplace.<br><br>
+1. Find the Azure SQL Edge module on the Azure Marketplace.<br><br>
 
-   ![SQL Database Edge in MarketPlace](media/deploy-portal/find-offer-marketplace.png)
+   ![SQL Edge in MarketPlace](media/deploy-portal/find-offer-marketplace.png)
 
 2. Pick the software plan that best matches your requirements and click **Create**. <br><br>
 
@@ -45,16 +45,16 @@ Azure Marketplace is an online applications and services marketplace where you c
    |---------|---------|
    |Subscription  |  The Azure subscription under which the IoT Hub was created |
    |IoT Hub   |  Name of the IoT Hub where the IoT Edge device is registered and then select "Deploy to a device" option|
-   |IoT Edge Device Name  |  Name of the IoT Edge device where SQL Database Edge would be deployed |
+   |IoT Edge Device Name  |  Name of the IoT Edge device where SQL Edge would be deployed |
 
-4. On the **Set Modules** page, navigate to the section on deployment modules and click **Configure** against the SQL Database Edge module. 
+4. On the **Set Modules** page, navigate to the section on deployment modules and click **Configure** against the SQL Edge module. 
 
 5. On the **IoT Edge Custom Modules** pane, specify the desired values for the environment variables and/or customize the create options and desired properties for the module. For a complete list of supported environment variables refer [SQL Server Container Environment Variables](/sql/linux/sql-server-linux-configure-environment-variables/).
 
    |**Parameter**  |**Description**|
    |---------|---------|
    | Name | Name for the module. |
-   |SA_PASSWORD  | Specify a strong password for the SQL Database Edge admin account. |
+   |SA_PASSWORD  | Specify a strong password for the SQL Edge admin account. |
    |MSSQL_LCID   | Sets the language ID to use for SQL Server. For example, 1036 is French. |
    |MSSQL_COLLATION | Sets the default collation for SQL Server. This setting overrides the default mapping of language ID (LCID) to collation. |
 
@@ -91,7 +91,7 @@ Azure Marketplace is an online applications and services marketplace where you c
        }
    ```
 
-7. On the **IoT Edge Custom Modules** pane, update the *Set module twin's desired properties* to include the location of the SQL package and the stream analytics job info. These two fields are optional and should be used if you want to deploy the SQL Database Edge module with a database and a streaming job.
+7. On the **IoT Edge Custom Modules** pane, update the *Set module twin's desired properties* to include the location of the SQL package and the stream analytics job info. These two fields are optional and should be used if you want to deploy the SQL Edge module with a database and a streaming job.
 
    ```json
        {
@@ -110,9 +110,9 @@ Azure Marketplace is an online applications and services marketplace where you c
 12. Click **Next**.
 13. Click **Submit**.
 
-In this quickstart, you deployed a SQL Database Edge Module on an IoT Edge device.
+In this quickstart, you deployed a SQL Edge Module on an IoT Edge device.
 
 ## Next Steps
 
-- [Machine Learning and Artificial Intelligence with ONNX in SQL Database Edge](onnx-overview.md).
-- Building an end to end IoT Solution with SQL Database Edge using IoT Edge.
+- [Machine Learning and Artificial Intelligence with ONNX in SQL Edge](onnx-overview.md).
+- Building an end to end IoT Solution with SQL Edge using IoT Edge.

articles/sql-database-edge/index.yml renamed to articles/azure-sql-edge/index.yml

@@ -1,11 +1,11 @@
 ### YamlMime:Landing
 
-title: Azure SQL Database Edge documentation
-summary: Azure SQL Database Edge is an optimized relational database engine geared for IoT and edge deployments.
+title: Azure SQL Edge documentation
+summary: Azure SQL Edge is an optimized relational database engine geared for IoT and edge deployments.
 
 metadata:
-  title: Azure SQL Database Edge documentation
-  meta.description: Learn how to use Azure SQL Database Edge.
+  title: Azure SQL Edge documentation
+  meta.description: Learn how to use Azure SQL Edge.
   services: sql-database-edge
   ms.service: sql-database-edge
   ms.topic: landing-page
@@ -20,29 +20,29 @@ landingContent:
 # Start card title with a verb
 
   # Card 
-  - title: SQL Database Edge
+  - title: SQL Edge
     linkLists:
       - linkListType: overview
         links:
-          - text: What is SQL Database Edge?
+          - text: What is SQL Edge?
             url: overview.md
 
   # Card 
-  - title: Deploy SQL Database Edge
+  - title: Deploy SQL Edge
     linkLists:
       - linkListType: quickstart
         links:
-          - text: Deploy SQL Database Edge
+          - text: Deploy SQL Edge
             url: deploy-portal.md
 
   # Card 
   - title: Sync data
     linkLists:
       - linkListType: tutorial
         links:
-          - text: Sync SQL Database Edge data with Azure Data Factory
+          - text: Sync SQL Edge data with Azure Data Factory
             url: tutorial-sync-data-factory.md
-          - text: Sync SQL Database Edge data with SQL Database
+          - text: Sync SQL Edge data with SQL Database
             url: tutorial-sync-data-sync.md
 
 
@@ -55,7 +55,7 @@ landingContent:
             url: onnx-overview.md
       - linkListType: quickstart
         links:
-          - text: Deploy ONNX on SQL Database Edge
+          - text: Deploy ONNX on SQL Edge
             url: deploy-onnx.md