Big Data technologies are bringing about an industrial revolution, offering novel solutions in managing, analyzing, and making use of the ocean of information created ...

Microsoft has shipped a v2 preview of its Azure Data Factory -- a cloud-based, Big Data integration service -- that borrows from the visual, low-code development approach that has seen skyrocketing ...

Mapping Data Flows allows users to build data pipelines in an accessible visual environment, without having to go through the additional hassle of infrastructure management.

In response to developer feedback, Microsoft is taking a page from the growing visual, low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory.

If you want to make good data-driven decisions, it’s critical for your data to be as accurate as possible. But ensuring the accuracy of data can be a difficult task in large enterprise environments ...

Microsoft announced the general availability (GA) of Java support in Azure Functions V2.0. Developers can now write functions in Java 8 and take advantage of the Maven-powered developer experience ...

The announcement also includes several other updates to Microsoft's Azure data services offerings for enterprise customers.

One key Azure Functions feature is its portability, with the option of building Functions apps and a basic runtime in containers for deployment and testing.

Serverless computing becomes a focus at JavaOne 2017, as Oracle introduces Project Fn and Microsoft previews Java support for Azure Functions.

Azure Functions get you beyond the traditional client/server approach to app creation, right into the cloud. Let’s first look at triggers.