Any data that does not fall into the traditional field structure (alpha, numeric, dates) of a relational DBMS. Examples of complex data types are bills of materials, word processing documents ...

In data science, theory informs practice, while application drives change. At Bucknell, you're given the opportunity to dig deep into some of the most long-standing and complex data science topics in ...

Fundamental elements of human rights must be safeguarded to realize the opportunities presented by big data: privacy, ethics and respect for data sovereignty require us to assess the rights of ...

These include nonlinear dynamics, fractal geometry, statistical physics, network science, and recently, data science. We investigate emergent behavior in complex biological systems, including natural ...

Researchers from the Department of Energy's Oak Ridge National Laboratory have developed a new application to increase ...

These new applications demanded a more flexible way of managing richly structured datasets—data that isn’t easily reduced to rows and columns, instead consisting of complex, nested relationships.

expands its industry-leading Komprise Elastic Data Migration to automate the end-to-end process of enterprise migrations, bringing increased efficiency and ROI for IT managers overseeing complex, ...