Few enterprise data warehousing (EDW) professionals regard the key rival approach--data federation--to be a best practice. Usually, the reasons for this disdain are valid, such as the fact that ...

The General Services Administration is working to create a place where data providers can go to see if their data fits into a set of standards others might be already using. This new effort, the ...

There are a few key traits that successful federated data efforts — when a specific kind of data is collected across disparate organizations — tend to have in common. And The General Service ...

As part of the Obama administration’s final push in the open data movement, the General Services Administration on Thursday launched the U.S. Data Federation with the slogan “Bringing together the ...

Seamless access for data analysis across heterogeneous data sources represents ‘the holy grail’ within mainstream enterprises. Designed for Big Data processing and performance at scale, Cirro is a ...

Moving information among various components of an automated manufacturing enterprise with as little programming as possible has been high on the wish list of automation and information technology ...

One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...