The trigger scheduling options are decently robust.
Azure Data Factory is valued for its scalability, flexibility, and end-to-end data integration capabilities, allowing efficient management and transformation of large data volumes. Users benefit from its range of connectors and low-code platform for simplifying complex tasks. However, improvements are needed in speed and connectivity, particularly with Azure Machine Learning, to enhance integration. The pricing complexity and inadequate documentation also pose challenges for smaller businesses and new users.
