Recursos de Software de Catálogo de Dados de Aprendizado de Máquina

Metadata is what describes your data. It’s the label on your containers that tells you which one contains sugar or salt. It's the card that the valet gives you when you park your vehicle at the shopping mall. In the world of tech, it includes information such as the author of a file, file size, time of creation, last updated, etc., (basic metadata elements). Most of this data has remained passive for the longest time (just storing data in a static catalog), leaving the wealth of data insights it can generate unexplored.

This post is part of G2's 2021 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Michael Fauscette, G2's chief research officer and Tom Pringle, VP, market research, and additional coverage on trends identified by G2’s analysts.

Remote work isn't the future. It's a current reality, with nearly 75% of U.S. workers working remotely at least some of the time, according to Owl Labs' State of Remote Work 2019 Report. Data scientists and other data professionals are no exception to the rule and are able to bring their work home with them if and when the need, or desire, arises. However, a switch to remote work isn't as straightforward as simply taking a work laptop home.