Data provenance encompasses the systematic recording of the origins, transformations and movements of data, thereby establishing the trustworthiness and reproducibility of scientific results. Recent ...
Despite shiny new AI and data science tools, the problem of data integration at scale hasn't gone away. But promising new approaches from vendors like StreamSets and FlureeDB are worth a closer look.
Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...
Getting a number of vendors to talk to each other, let alone align, is no easy feat. Adding academics and researchers does not necessarily make things easier. Now try adding to the mix a fragmented ...
NEW YORK--(BUSINESS WIRE)--Based on the work of experts from nineteen leading enterprises, the Data & Trust Alliance (D&TA) announced proposed data provenance standards, believed to be the first with ...
The growing use of data and the internet of things (IoT) across every industry -- including logistics, manufacturing, and oil and gas -- is ushering in an era of data abundance. Abundant data can ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results