Azure Data Factory

Secure credential management is essential to protect data in the cloud.

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.

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.

Azure Databricks general availability was announced on March 22, 2018. Now Azure Databricks is fully integrated with Azure Data Factory (ADF).

To help our customers with their adoption of Azure services for big data and data warehousing workloads we have identified some common adoption patterns which are reference architectures for…

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.

If you were too busy writing code, attending meetings, or enjoying some time away from work, here’s an overview of what you may have missed in Azure last week: new visual tools for Azure Data Factory v2, IoT extension for Azure CLI 2.

ADF v2 public preview was announced at Microsoft Ignite on Sep 25, 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.

This week at Ignite, we announced new capabilities in Azure Data Factory (ADF) service available in public preview for customers.

This blog contains Data Management Gateway – ‘High Availability and Scalability’preview annoucement.

This blog post was authored by Marc Mercuri, Director, Microsoft Digital. Microsoft is laser-focused on enabling and accelerating enterprise adoption of blockchain technologies. Our blockchain offerings are well known for providing the ability to rapidly and consistently deploy blockchain infrastructure.