Azure 快速启动模板
使用社区提供的模板通过 Azure 资源管理器部署 Azure 资源以执行更多操作。部署、学习、派生并回馈。
什么是 Azure 资源管理器？
Azure 资源管理器使你可以使用声明性模板设置应用程序。在单个模板中，你可以部署多个服务及其依赖项。可在应用程序生命周期的每个阶段中使用相同模板重复部署应用程序。
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- Microsoft.Aad (1)
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- Microsoft.Automation (9)
- Microsoft.Batch (2)
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- Microsoft.Cdn (12)
- Microsoft.Certificateregistration (2)
- Microsoft.Cognitiveservices (3)
- Microsoft.Compute (404)
- Microsoft.Consumption (1)
- Microsoft.Containerinstance (15)
- Microsoft.Containerregistry (9)
- Microsoft.Containerservice (13)
- Microsoft.Customproviders (3)
- Microsoft.Databricks (4)
- Microsoft.Datafactory (16)
- Microsoft.Datalakeanalytics (1)
- Microsoft.Datalakestore (5)
- Microsoft.Datamigration (2)
- Microsoft.Datashare (3)
- Microsoft.Dbformariadb (1)
- Microsoft.Dbformysql (7)
- Microsoft.Dbforpostgresql (7)
- Microsoft.Devices (4)
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- Microsoft.Hdinsight (28)
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显示所有的 16 个模板。通过搜索优化结果。
This template creates a V2 data factory that copies data from a folder in an Azure Blob Storage to another folder in the storage.
发布者 Daniel Perlovsky，上次更新时间：2020/9/8
Provision SSIS runtime in Azure
This template creates a V2 data factory and then provisions an Azure SSIS integration runtime
发布者 Sreedhar Pelluru，上次更新时间：2020/5/5
This template creates a V2 data factory that copies data from a folder in an Azure Blob Storage to a table in an Azure Database for MySQL.
发布者 Ramkumar Chandrasekaran，上次更新时间：2019/12/6
This template creates a V2 data factory that copies data from a folder in an Azure Blob Storage to a table in an Azure Database for PostgreSQL.
发布者 Ramkumar Chandrasekaran，上次更新时间：2019/11/4
This template creates an empty data factory
发布者 Vaibhav Gujral，上次更新时间：2019/10/11
Bulk copy using Azure Data Factory
This template creates a V2 data factory that copies data in bulk an Azure SQL database to an Azure SQL data warehouse.
发布者 Sreedhar Pelluru，上次更新时间：2018/2/20
This template creates a V2 data factory that copies data from an on-premises SQL Server to an Azure blob storage
发布者 Sreedhar Pelluru，上次更新时间：2018/2/15
This template creates a V2 data factory that copies data from a folder in an Azure Blob Storage to a table in an Azure SQL database.
发布者 Sreedhar Pelluru，上次更新时间：2018/2/14
Two-Activity chained Data Factory Pipeline
This template deploys a new Data Factory and requisite objects (linked services, datasets, pipelines, gateways, etc.) to fascilitate a two-activity chained Data Factory pipeline. The first leg of the pipeline leverages data management gateway to pull data from an on-premises SQL server source into Azure Data Lake Store in Apache orc columnar storage format. The second leg of the pipeline pulls data from orc files in Azure Data Lake Store and inserts into Azure SQL as a final destination. This pipeline can be easily customized to accomodated a wide variety of additional sources and targets.
发布者 Ken Skvarcius，上次更新时间：2017/10/21
This template creates a V2 data factory that copies data from a folder in an Azure Blob Storage to another folder in the storage.
发布者 Sreedhar Pelluru，上次更新时间：2017/9/27
Create a data management gateway and install on an Azure VM
This template deploys a virtual machine and creates a workable data management gateway
Create a Data Factory Pipeline with Copy and Hive activities
This template creates a data factory pipeline with Copy and HDInsight Hive activities.
发布者 Sreedhar Pelluru，上次更新时间：2016/11/17
Create a Data Factory, copy from Salesforce to Blob
This template uses Azure Data Factory to perform data movement from Salesforce to Azure Blobs
发布者 Harish Kumar Agarwal，上次更新时间：2016/10/13
Create a Data Factory Pipeline with Hive Activity
This template creates a data factory pipeline with a HDInsight Hive activity.
发布者 Sreedhar Pelluru，上次更新时间：2016/10/11
Create a Data Factory, Copy from Blob to SQL with Sproc
This template creates a data factory pipeline for a copy activity from Azure Blob into an Azure SQL Database while invoking a stored procedure
发布者 Sharon Lo，上次更新时间：2016/10/10
Create a Data Factory, Blob source, SQL sink and Pipeline
This template creates a data factory pipeline for a copy activity from Azure Blob into an Azure SQL Database
发布者 Sreedhar Pelluru，上次更新时间：2016/10/6