{ "": [ "--------------------------------------------------------------------------------------------", "Copyright (c) Microsoft Corporation. All rights reserved.", "Licensed under the Source EULA. See License.txt in the project root for license information.", "--------------------------------------------------------------------------------------------", "Do not edit this file. It is machine generated." ], "extension-displayName": "SQL Server-Bereitstellungserweiterung für Azure Data Studio", "extension-description": "Bietet eine Notebook-basierte Oberfläche zum Bereitstellen von Microsoft SQL Server.", "deploy-sql-image-command-name": "SQL Server in Docker bereitstellen...", "deploy-sql-bdc-command-name": "SQL Server-Big Data-Cluster bereitstellen...", "deploy-resource-command-name": "SQL Server bereitstellen...", "deploy-resource-command-category": "Bereitstellung", "resource-type-sql-image-display-name": "SQL Server-Containerimage", "resource-type-sql-image-description": "SQL Server-Containerimage mit Docker ausführen", "resource-type-sql-bdc-display-name": "SQL Server-Big Data-Cluster", "resource-type-sql-bdc-description": "Mit dem Big Data-Cluster von SQL Server können Sie skalierbare Cluster von SQL Server-, Spark- und HDFS-Containern bereitstellen, die in Kubernetes ausgeführt werden.", "version-display-name": "Version", "sql-2017-display-name": "SQL Server 2017", "sql-2019-display-name": "SQL Server 2019", "sql-2017-docker-notebook": "./notebooks/docker/2017/deploy-sql2017-image.ipynb", "sql-2019-docker-notebook": "./notebooks/docker/2019/deploy-sql2019-image.ipynb", "sql-2019ctp31-display-name": "Big Data-Cluster in SQL Server 2019 CTP 3.1", "bdc-deployment-target": "Bereitstellungsziel", "bdc-deployment-target-aks": "Neuer Azure Kubernetes Service-Cluster", "bdc-deployment-target-existing-cluster": "Vorhandener Kubernetes-Cluster", "bdc-ctp31-aks-notebook": "./notebooks/bdc/2019/ctp3-1/deploy-bdc-aks.ipynb", "bdc-ctp31-existing-cluster-notebook": "./notebooks/bdc/2019/ctp3-1/deploy-bdc-existing-cluster.ipynb" }