How the Machine Learning Catalogs Stack Up

You can't do anything with data – let alone use it for machine learning – if you don't know where it is. In the age of big data, this is not a trivial matter. It is also the main driver that's propelling the rise of machine learning data catalogs, which the analysts at Forrester recently ranked and sorted. Just a word of warning: the name at the top of the list might surprise you. According to Michelle Goetz's June 21 Forrester Wave report, the percentage of analytic decision makers managing more than 1 petabyte of data (either structured, semi-structured, or unstructured) has essentially tripled from 2016 to 2017.