First published on MSDN on May 04, 2018
Authored by Jeffrey Chilberto
Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.
Modern solutions often require an aggregation of many distributed data sources and often requires manipulation to correlate the data across the different models. The Azure Data Factory (ADF) fulfills the need to development sophisticated Extract Load/Transform (ELT) workflows in the cloud. Gaurav Malhotra's post, Iterative development and debugging using Data Factory , provides a description of the visual tools of the ADF. These tools allow the building of complex transforms visually allow and allows debugging, testing and monitoring.
As a related item, see the Azure Friday video about using Azure Databricks and Azure Data Factory.
