Essentially, AWS Data Pipeline is a way to automate the movement and transformation of data to make the workflows reliable and consistent, regardless of the infrastructure of data repository changes.

Liquid cooling, renewable diesel, and a host of infrastructure changes make Amazon's cloud service four times more efficient than on-premise computing, the company explains at re:Invent.

For Amazon Web Services (AWS) and Snowflake a modern data streaming pipeline makes it easy for organizations to get data in near real-time from one platform to another.

Amazon Web Services, Amazon's cloud computing business, has opened physical locations where customers can upload their data.

New set of flexible data center components will support the next generation of generative AI innovation and provide 12% more compute power, while improving availability and efficiency ...

Amazon's cloud computing division says that it plans to invest "at least" $11 billion in Georgia to expand its data center infrastructure.

AWS Adam Selipsky explains why Amazon is investing $11 billion in new data centers in Indiana to expand cloud services and AI infrastructure to customers.