Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, ...

The integration of data from many sources, especially new 'omic' platforms, is increasingly challenging not just because of increasing volume of data but because these data are highly diverse, ...

The need for data integration has never been more intense than it has been recently. The Internet of Things and its muscular sibling, the Industrial Internet of Things, are now being embraced as a way ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data science has become an important catalyst for innovation. With this, businesses can ...