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Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores, process/transform the data by using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning, and publish output data to data stores such as Azure Synapse Analytics for business intelligence (BI) applications to consume.
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This quickstart describes how to use REST API to create an Azure data factory. The pipeline in this data factory copies data from one location to another location in an Azure blob storage.
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This quickstart describes how to use REST API to create an Azure Data Factory. The pipeline in this data factory copies data from one location to another location in an Azure blob storage.
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If you don't have an Azure subscription, create a [free](https://azure.microsoft.com/free/) account before you begin.
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Note the following points:
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* The name of the Azure data factory must be globally unique. If you receive the following error, change the name and try again.
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* The name of the Azure Data Factory must be globally unique. If you receive the following error, change the name and try again.
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```
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Data factory name "ADFv2QuickStartDataFactory" is not available.
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