While web companies are building massive-scale data warehouses on top of Hadoop and analyzing data in every manner under the sun, Lockheed Martin is trying to help its government systems embrace a new world without breaking their mainframes.
Making sense of big data can be hard enough without spending untold hours having to write code or manually clean datasets that simply won’t work with existing BI tools. Trifacta is trying to automate that process with a new software product it announced on Tuesday.
http://www.trifacta.com/data-science-from-hubris-and-machismo-to-human-centered-design/
This a really thoughtful post from Trifacta Co-founder and CEO Joe Hellerstein (who’s clearly ramping up for the big unveil of Trifacta’s product soon) about the transformation of data science skills. As someone who sometimes tries to do work with data — and often speaks with people who really do work with data — I couldn’t agree more. There are tools that let “business users” or even journalists do valuable stuff, but they’ll always be many steps behind what folks trained in math and computer science can do. And data transformation sucks for everyone.
A new startup called Paxata wants to make business analysts’ lives easier by automating the process of going from raw data to something that an analytics product like Tableau can actually understand.
Science has a data problem, There’s been a rash of experiments that no one can reproduce and studies that have to be retracted, But there are some nascent efforts to address this credibility crisis by changing the way the data is handled.
A new startup called Trifacta, founded by UC-Berkeley professor Joe Hellerstein and Stanford professor Jeffrey Heer, wants to eliminate much of the hassle of making messy data usable. The company combines machine learning and human-computer interaction, and has raised $4.3 million from Accel Partners.
