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 ...

Take advantage of Azure Functions to run small pieces of code that can be triggered by events in the Azure cloud.

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.

When you build a function in Azure Functions, you’re creating an API endpoint that takes JSON data over HTTP, processes it, and either triggers an action or sends the data on to other services.

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.

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.

Microsoft announced on September 26th that Azure Functions runtime v4 will support running .NET Framework 4.8 functions in an isolated process, allowing the developers to move their legacy .NET ...

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 ...