Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.
It provides a scalable and cost-effective solution for data integration and processing. It can handle on-premises and cloud-based data sources.
The software allows you to connect to data sources including Azure Blob Storage, Azure Data Lake Storage, SQL Server, Oracle and MySQL.
With ADF, you can create complex data pipelines that can transform and manipulate data as it flows through the pipeline.
Overview
One of the key benefits of Azure Data Factory is its ability to automate data integration tasks. You can create pipelines move and transform data, without the need for manual intervention. This automation can help reduce errors and increase efficiency, allowing your team to focus on higher-level tasks. Additionally, ADF provides built-in monitoring and logging features. This allows you to track the progress of your data pipelines and troubleshoot any issues that may arise.
Summary
ADF is now a key feature of Azure and is of Microsoft Fabric offering. It also integrates with other Azure services, including Synapse Analytics and Azure SQL as well as other technologies including DataBricks. This allows you to leverage the power of these services to perform advanced data processing.
ADF can also be used in conjunction with other data integration tools to create more complex workflows and data pipelines. Is a powerful and flexible tool that can help you automate and streamline your data integration processes.
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