Is Your Big Data Messy? We're Making an App for That
Thursday, February 16, 2017 - 12:31
in Mathematics & Economics
Vizier, software under development by a University at Buffalo-led research team, aims to proactively catch big data errors. The project, backed by a $2.7 million National Science Foundation grant, launched in January. Like Excel, Vizier will allow users to explore, clean, curate and visualize data in meaningful ways, as well as spot errors and offer solutions. But unlike spreadsheet software, Vizier is intended for much larger datasets; i.e., millions or billions of data points.