Thursday, June 21, 2018
Event driven architecture (EDA) is a common data integration pattern that involves production, detection, consumption and reaction to events. Today, we are announcing the support for event based triggers in your Azure Data Factory (ADF) pipelines.
Tuesday, June 19, 2018
Azure Data Factory (ADF) is the fully-managed data integration service for analytics workloads in Azure.
Monday, May 14, 2018
With Azure Data Factory (ADF) visual tools, we listened to your feedback and enabled a rich, interactive visual authoring and monitoring experience. It allows you to iteratively create, configure, test, deploy and monitor data integration pipelines without any friction.
Monday, April 16, 2018
There is increasingly a need among users to develop and debug their Extract Transform/Load (ETL) and Extract Load/Transform (ELT) workflows iteratively. Now, Azure Data Factory (ADF) visual tools allow you to do iterative development and debugging.
Monday, April 9, 2018
Azure Data Factory (ADF) visual tools public preview was announced on January 16, 2018. With visual tools, you can iteratively build, debug, deploy, operationalize and monitor your big data pipelines.
Monday, April 2, 2018
Azure Databricks general availability was announced on March 22, 2018. Now Azure Databricks is fully integrated with Azure Data Factory (ADF).
Wednesday, January 31, 2018
Announcing a new self-paced hands-on Lab for the Azure Data Factory UI to visually build scale-out data pipelines in the cloud using ADF V2.
Tuesday, January 16, 2018
ADF v2 public preview was announced at Microsoft Ignite on Sep 25, 2017.
Wednesday, December 20, 2017
We are excited to announce that Azure Data Factory newly enabled copying data from a number of data stores using Copy Activity in V2.
Wednesday, October 25, 2017
Having just announced the V2 preview availability of Azure Data Factory at Ignite in Orlando, I'm going to start a new blog series focusing on three new features in Azure Data Factory for different types of data integration users. These features are all available now, in preview, in the ADF V2 service. So, for part one of this series, I’ll focus on Data Engineers who build and maintain ETL processes.