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 ...

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.

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 ...

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

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, ...