What is a Microsoft Azure Data Factory?
Microsoft Azure Data Factory (ADF) is a cloud-based data integration service that enables users to create, schedule, and manage data pipelines that move and transform data from various sources and destinations. With ADF, users can integrate data from multiple sources, such as relational databases, flat files, and cloud storage services, and transform the data using various data transformation and processing technologies, such as Azure HDInsight, Azure Databricks, and Azure Machine Learning.
ADF allows users to create data pipelines using a drag-and-drop interface or by writing JSON-based configuration files, and provides a range of built-in connectors for various data sources and destinations, including Azure SQL Database, Azure Blob Storage, and Amazon S3. ADF also provides a range of data transformation and processing capabilities, such as data filtering, mapping, aggregation, and joining, and can integrate with other Azure services such as Azure Functions, Azure Logic Apps, and Azure Stream Analytics to provide a complete data integration solution.
With ADF, users can easily create, monitor, and manage data pipelines at scale, and can take advantage of features such as automatic scaling, fault tolerance, and integration with other Azure services to build robust and scalable data integration solutions. Additionally, ADF integrates with Azure Data Factory Mapping Data Flows, a visual, no-code environment for data transformations and manipulation.
