What is Azure Data Factory primarily used for?

Azure Data Factory is primarily designed for data orchestration and integration, enabling users to create data-driven workflows for orchestrating data movement and transforming data. It serves as a cloud-based data integration service that allows users to create workflows that can ingest data from various sources, process and transform that data, and then store it in a data repository or data warehouse for analysis.

This functionality is essential for organizations looking to build data pipelines that automate the movement and transformation of data across different environments, whether on-premises or in the cloud. By orchestrating these processes, users can efficiently manage data workflows and ensure that data is available in the right format and at the right time for analytics and reporting.

While data storage and accessibility, cloud file migration, and data visualization are important aspects of data management, they do not capture the primary role of Azure Data Factory, which focuses on the orchestration and integration processes necessary for effective data handling and movement.