Frends offers seamless integration with Azure Data Lake, enabling you to effortlessly connect and automate data flows between your systems and Azure Data Lake.

By leveraging Frends' task-based approach, you can configure and customize Azure Data Lake integrations according to your specific use cases. Frends has a variety of tasks for handling containers, directories and files on Azure Data Lake.

Use cases

Below you will find examples of typical use cases for Azure Data Lake and how they could be implemented in Frends.

Downloading files

By using the Schedule trigger in conjunction with the DownloadFiles task, we can create an integration that runs once every day and downloads files from an Azure Data Lake container that match a specified pattern.

Uploading files

By using the CreateContainer and UploadFiles tasks, we can create an integration that creates a container into Azure Data Lake, uploads files matching a pattern from a local folder into the Data Lake container, and deletes the local files afterwards.