The key when dealing with large amounts of data relies not only in their gathering and storage, but in the capability to extract knowledge from them. In addition to volume, big data includes diversity and complexity in the data, as well as the ability to extract knowledge in a reasonable time.
Miquel Oliver, associate professor at the Department of Information and Communication Technologies at UPF, and Helena Ramalhinho, associate professor at the Department of Economics and Business at UPF, analyse the challenges and opportunities around knowledge extraction from large amounts of data in an article at El Periódico (spanish and catalan versions below).
