You have data files in Azure Blob storage.
You plan to transform the files and move them to Azure Data Lake Storage.
You need to transform the data by using mapping data flow.
Which Azure service should you use?
Click on the arrows to vote for the correct answer
A. B. C. D.C
You can use Copy Activity in Azure Data Factory to copy data from and to Azure Data Lake Storage Gen2, and use Data Flow to transform data in Azure Data
Lake Storage Gen2.
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-data-lake-storageThe Azure service that should be used to transform the data by using mapping data flow is Azure Data Factory.
Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines that move and transform data. It provides a platform for building data-driven workflows that can move data between various sources, including Blob storage, and can transform data using a variety of built-in and third-party services.
Mapping Data Flow is a feature within ADF that allows users to create visually designed data transformations using a drag-and-drop interface. With Mapping Data Flow, users can transform, aggregate, and join data from various sources using a set of pre-built transformations or custom transformations.
Azure Data Box Gateway is a hybrid cloud storage solution that enables data transfer between on-premises infrastructure and Azure Blob storage, while Azure Storage Sync is a service that allows you to synchronize files between on-premises servers and Azure Blob storage. These services are not designed for data transformation and moving data to Azure Data Lake Storage.
Azure Databricks is a cloud-based analytics and data processing platform that provides a collaborative environment for working with big data. While it provides powerful tools for data transformation and processing, it is not designed specifically for moving data between Azure Blob storage and Azure Data Lake Storage.
Therefore, the correct answer is C. Azure Data Factory.