Monday, February 11, 2019
Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes.
Thursday, October 18, 2018
Azure Data Factory (ADF) enables you to do hybrid data movement from 70 plus data stores in a serverless fashion. Often users want to connect to multiple data stores of the same type. For example, you might want to connect to 10 different databases in your Azure SQL Server and the only difference between those 10 databases is the database name.
Thursday, August 9, 2018
GitHub is a development platform that allows you to host and review code, manage projects and build software alongside millions of other developers from open source to business. Azure Data Factory (…
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.
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 30, 2018
Secure credential management is essential to protect data in the cloud. With Azure Key Vault, you can encrypt keys and small secrets like passwords that use keys stored in hardware security modules (…
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.