Azure Data Factory (ADF) is the fully-managed data integration service for analytics workloads in Azure. Using ADF users can load the lake from 70+ data sources, on premises and in the cloud, use rich set of transform activities to prep, cleanse, process the data using Azure analytics engines, and finally land the curated data into a data warehouse for reporting and app consumption. With ADF you can iteratively develop, debug, and continuously integrate and deploy into dev, QA, and production environments, enabling you to achieve productivity during development phrase as well as operationalize and manage your Extract Transform Load /Extract Load Transform workflows holistically.
All analytics solutions start with loading data from diverse data source into data lake. As part of January 2018 release of ADF Visual Tool, we released Copy Data Tool which allows you to easily set up a pipeline to accomplish the data loading task in minutes, without having to understand or explicitly set up Linked Services and datasets for source and destination. We continuously listened to your feedback and today we are happy to announce the latest set of enhancements to the Copy Data Tool making it easier to ingest data at scale.
Read more about it in the Azure blog.