Editor’s note: The Focus on Research column highlights different research projects and topics being explored at Penn State. Each column will feature the work of a different researcher from across all ...

The big problem with Big Data isn't big volume, it's the big variety of data types, according to a survey of data scientists released by Paradigm4 Inc. this week. "The upshot is that businesses are ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Hitachi Data Systems bought big data integration and ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. After the internet went mainstream in 1991, marketing stayed relatively the same for the ...

Big data and analytics are all around these days. Most companies already have their first analytical models in production and are thinking about further boosting their performance. However, far too ...

Collecting and combining diverse data types from different manufacturing processes can play a significant role in improving semiconductor yield, quality, and reliability, but making that happen ...

Make no mistake: the Big Data movement has done more than just introduce a tidal wave of aggressive marketing campaigns. While it’s true that the “Big” in Big Data is an increasingly ambiguous term – ...

Jungwoo Ryoo receives funding from National Science Foundation and IBM. “Big data” is a catchall term for any data set of exceedingly large volume. It could be transaction information at a credit card ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Big data has transformed fields such as physics and genomics. Neuroscience is set to collect its own big data sets, but to exploit its full potential, there need to be ways to standardize, integrate ...