![duplicacy copy job duplicacy copy job](https://freedownloads.net/download/JobApplicationDD-2.pdf.png)
Specify the copy sink type and the corresponding properties for writing data. For more information, see the "Copy activity properties" section in the connector article listed in Supported data stores and formats. Specify the copy source type and the corresponding properties for retrieving data. Specify properties to configure the Copy activity. The Copy activity supports only a single output. Specify the dataset that you created that points to the sink data. The Copy activity supports only a single input. Specify the dataset that you created that points to the source data. The following template of a Copy activity contains a complete list of supported properties. Create a pipeline with the Copy activity.Refer to the "Dataset properties" sections of the source and sink connector articles for configuration information and supported properties. Create datasets for the source and sink.Refer to the connector article's "Linked service properties" section for configuration information and supported properties. You can find the list of supported connectors in the Supported data stores and formats section of this article.
![duplicacy copy job duplicacy copy job](https://images.template.net/wp-content/uploads/2017/06/Job-Work-Order.jpg)
Create linked services for the source data store and the sink data store.In general, to use the Copy activity in Azure Data Factory or Synapse pipelines, you need to: To perform the Copy activity with a pipeline, you can use one of the following tools or SDKs: See Products by region to check the availability of Data Factory, Synapse Workspaces and data movement in a specific region. The globally available topology ensures efficient data movement that usually avoids cross-region hops. The service that enables the Copy activity is available globally in the regions and geographies listed in Azure integration runtime locations. Many more activities that require serialization/deserialization or compression/decompression.Copy data in Gzip compressed-text (CSV) format from Azure Blob storage and write it to Azure SQL Database.Copy zipped files from an on-premises file system, decompress them on-the-fly, and write extracted files to Azure Data Lake Storage Gen2.Copy files in text (CSV) format from an on-premises file system and write to Azure Blob storage in Avro format.Copy data from a SQL Server database and write to Azure Data Lake Storage Gen2 in Parquet format.In addition, you can also parse or generate files of a given format, for example, you can perform the following: You can use the Copy activity to copy files as-is between two file-based data stores, in which case the data is copied efficiently without any serialization or deserialization. Refer to each article for format-based settings. Supported file formatsĪzure Data Factory supports the following file formats. If you want to take a dependency on preview connectors in your solution, contact Azure support. If a connector is marked Preview, you can try it out and give us feedback.
#Duplicacy copy job driver
Sink supported only with the ODBC Connector and the SAP HANA ODBC driver
![duplicacy copy job duplicacy copy job](http://myexceltemplates.com/wp-content/uploads/2014/02/Printable-Job-Application.jpg)
Supported data stores and formats Category