Data Integration is complex with many moving parts. It helps organizations to combine data and complex business processes in hybrid data environments. Failures are very common in data integration workflows.
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.
Data integration is complex and helps organizations combine data and business processes in hybrid data environments. The increase in volume, variety, and velocity of data has led to delays in monitoring and reacting to issues.
Azure Functions is a serverless compute service that enables you to run code on-demand without having to explicitly provision or manage infrastructure. Using Azure Functions, you can run a script or piece of code in response to a variety of events.
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.
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.
Data Integration solutions can be complex with many moving parts involving complex data factories with multiple pipelines.
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.
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.
Secure credential management is essential to protect data in the cloud.
