Turning Big Data Into Manageable Data

Palantir CEO Alex Karp Says Going Public Is'A Possibility' Big data is ubiquitous because it can provide valuable insight that is unavailable without it. Analyzing big data sets can pose problems, however. For starters, big data is big, sometimes too big to be handled effectively by commonly used analysis tools. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory and the University of Haifa in Israel have developed a solution to this problem that turns big data into manageable data. Data analysis tools such as low-rank approximation, singular-value decomposition, principal-component analysis, and nonnegative matrix factorization are commonly used to reduce the number of variables in a dataset.