Move Data Between On-Premise and Cloud using Azure Data Factory

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Move Data Between On-Premise and Cloud using Azure Data Factory

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Azure Data Factory is a cloud-based data integration service that automates the movement and transformation of data. We can create data integration solutions using the Data Factory service that can read data from various data stores, transform/process the data, and publish result data to the data stores. In this lab, we will see how to copy data from an on-premises file system to an Azure Blob Storage. In the first exercise, we will learn to create azure data factory and data management gateway. In the second exercise, we will learn to create linked services. In the third exercise, we will learn to create datasets. In the fourth exercise, we will learn to create and execute the pipeline.

Exercise 1: Create Azure Data Factory and Data Management Gateway
Exercise 2: Create Linked Services
Exercise 3: Create datasets
Exercise 4: Create and Execute the Pipeline

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Description

Azure Data Factory is a cloud-based data integration service that automates the movement and transformation of data. We can create data integration solutions using the Data Factory service that can read data from various data stores, transform/process the data, and publish result data to the data stores. In this lab, we will see how to copy data from an on-premises file system to an Azure Blob Storage. In the first exercise, we will learn to create azure data factory and data management gateway. In the second exercise, we will learn to create linked services. In the third exercise, we will learn to create datasets. In the fourth exercise, we will learn to create and execute the pipeline.

Exercise 1: Create Azure Data Factory and Data Management Gateway
Exercise 2: Create Linked Services
Exercise 3: Create datasets
Exercise 4: Create and Execute the Pipeline

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