You have data files stored in Azure Blob Storage that you must transform and move into Azure Data Lake Storage. The transformation will use a mapping data flow. Which Azure service should you use to perform the mapping data flow and move the transformed data to Data Lake Storage?

Azure Data Factory (ADF) is the correct service because it is a cloud-based ETL (Extract, Transform, Load) and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Its mapping data flow feature is specifically designed for code-free data transformations, making it ideal for the scenario described. Azure Databricks is a powerful analytics platform for big data processing and machine learning, but it's not the primary service for orchestrating data movement and ETL with mapping data flows. Azure Storage Sync is used for centralizing file shares in Azure Files and syncing them with on-premises file servers, not for data transformation or movement between different storage types. Azure Data Box Gateway is a virtual appliance for transferring large amounts of data to Azure, primarily for initial data ingestion, not for ongoing ETL processes with transformations.